TIF_BWS_E41202291/Analisis Sentimen Mie Gacor...

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592 KiB
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{
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"cell_type": "code",
"execution_count": 1,
"id": "88aa3f18-30e9-4dee-89f5-b8ccbfd6ab2c",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import string\n",
"import re\n",
"import requests\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "be8eeb27-b414-423d-993a-2252e6f6c8e2",
"metadata": {},
"outputs": [],
"source": [
"# Menampilkan semua baris dan kolom\n",
"pd.set_option('display.max_rows', None)\n",
"pd.set_option('display.max_columns', None)\n",
"pd.set_option('display.width', None)\n",
"pd.set_option('display.max_colwidth', None)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e66aee64-405c-46b5-a4da-0b48c02a7e91",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>No</th>\n",
" <th>Comment</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>@maiyochiru jam brp aja lah skuy</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>bismillah hari ini banget gaiss 👆👆👆 yukk ramaikan @eka_nf1105 @firda_yn25 @yesidwir_ @yulitayue @stnnwnti @ssnt_saadah</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>yuk bisa yuk dapat 😘 untuk bisa beli gacornya 🙏🏻</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>yg pengen makan mie pedess daerah tenggarang, bisa banget nih ☝☝☝ daerah kota juga ada yg gaiss yukk merapat @nafisaintan612 @nurul_azizah0103 @aliyya.04 @nurwini_aprilia @ettysafitri_ @jamilahilaa__</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>grand opening 💕💕💕💕💕 yuk silahkan merapat ke lokasi terbaru mie gacor 🍜🍜🍜 @ummualfatih_26 @siskaanggitaaa @geraicemilanpedas.id @septaade.s @deatriwulandari_ @ika.rizkaa @sitihartinahh @ulandari097</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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"text/plain": [
" No \\\n",
"0 1 \n",
"1 2 \n",
"2 3 \n",
"3 4 \n",
"4 5 \n",
"\n",
" Comment \\\n",
"0 @maiyochiru jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss 👆👆👆 yukk ramaikan @eka_nf1105 @firda_yn25 @yesidwir_ @yulitayue @stnnwnti @ssnt_saadah \n",
"2 yuk bisa yuk dapat 😘 untuk bisa beli gacornya 🙏🏻 \n",
"3 yg pengen makan mie pedess daerah tenggarang, bisa banget nih ☝☝☝ daerah kota juga ada yg gaiss yukk merapat @nafisaintan612 @nurul_azizah0103 @aliyya.04 @nurwini_aprilia @ettysafitri_ @jamilahilaa__ \n",
"4 grand opening 💕💕💕💕💕 yuk silahkan merapat ke lokasi terbaru mie gacor 🍜🍜🍜 @ummualfatih_26 @siskaanggitaaa @geraicemilanpedas.id @septaade.s @deatriwulandari_ @ika.rizkaa @sitihartinahh @ulandari097 \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Membaca data dari file CSV\n",
"# Membaca data dari file CSV dengan memisahkan kolom-kolom terpisah\n",
"file_path = 'G:/SKRIPSI/LabelingData/DATAGACORKU.csv'\n",
"data = pd.read_csv(file_path, sep=',')\n",
"\n",
"# Menampilkan lima baris pertama dari DataFrame\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e11a8118-52b4-4141-8781-0f9977001519",
"metadata": {},
"outputs": [],
"source": [
"# Mengganti nilai NaN dengan 0 atau nilai lain yang sesuai\n",
"data['Label'].fillna(0, inplace=True)\n",
"\n",
"# Mengubah kolom label ke tipe int\n",
"data['Label'] = data['Label'].astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "1d6f52af-8aeb-47d7-b73b-433408c3c994",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"No int64\n",
"Comment object\n",
"Label int32\n",
"dtype: object"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Mengetahuli kolom dan tipe data\n",
"data.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "644936bd-cd39-49b8-8346-c1ccd71a8c86",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(123, 3)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Mengetahui jumlah baris data dan kolom\n",
"data.shape"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ab931428-aa66-49ff-97f9-7f7a4a5e536f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 123 entries, 0 to 122\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 No 123 non-null int64 \n",
" 1 Comment 123 non-null object\n",
" 2 Label 123 non-null int32 \n",
"dtypes: int32(1), int64(1), object(1)\n",
"memory usage: 2.5+ KB\n",
"None\n",
"Label\n",
"1 100\n",
"0 23\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"# Mengetahui isi data secara rinci\n",
"print(data.info())\n",
"print(data['Label'].value_counts())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "2cfd6d23-2642-4d60-80ca-bdcece1540e3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Mengecek data duplikat atau data yang sama\n",
"data.duplicated().sum()\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d35a0d9b-7451-4282-b8c8-024830315909",
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Comment</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>@maiyochiru jam brp aja lah skuy</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>bismillah hari ini banget gaiss 👆👆👆 yukk ramaikan @eka_nf1105 @firda_yn25 @yesidwir_ @yulitayue @stnnwnti @ssnt_saadah</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yuk bisa yuk dapat 😘 untuk bisa beli gacornya 🙏🏻</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang, bisa banget nih ☝☝☝ daerah kota juga ada yg gaiss yukk merapat @nafisaintan612 @nurul_azizah0103 @aliyya.04 @nurwini_aprilia @ettysafitri_ @jamilahilaa__</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening 💕💕💕💕💕 yuk silahkan merapat ke lokasi terbaru mie gacor 🍜🍜🍜 @ummualfatih_26 @siskaanggitaaa @geraicemilanpedas.id @septaade.s @deatriwulandari_ @ika.rizkaa @sitihartinahh @ulandari097</td>\n",
" <td>1</td>\n",
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"text/plain": [
" Comment \\\n",
"0 @maiyochiru jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss 👆👆👆 yukk ramaikan @eka_nf1105 @firda_yn25 @yesidwir_ @yulitayue @stnnwnti @ssnt_saadah \n",
"2 yuk bisa yuk dapat 😘 untuk bisa beli gacornya 🙏🏻 \n",
"3 yg pengen makan mie pedess daerah tenggarang, bisa banget nih ☝☝☝ daerah kota juga ada yg gaiss yukk merapat @nafisaintan612 @nurul_azizah0103 @aliyya.04 @nurwini_aprilia @ettysafitri_ @jamilahilaa__ \n",
"4 grand opening 💕💕💕💕💕 yuk silahkan merapat ke lokasi terbaru mie gacor 🍜🍜🍜 @ummualfatih_26 @siskaanggitaaa @geraicemilanpedas.id @septaade.s @deatriwulandari_ @ika.rizkaa @sitihartinahh @ulandari097 \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Menghapus kolom no\n",
"data = data.drop(columns=['No'])\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "6d580336-5b5a-476a-9d08-a98021e3f481",
"metadata": {},
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
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" <th>Comment</th>\n",
" <th>Label</th>\n",
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" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
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"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import re\n",
"import pandas as pd\n",
"\n",
"# Fungsi untuk melakukan cleansing teks\n",
"def clean_text(text):\n",
" if not isinstance(text, str):\n",
" return text\n",
" # Menghapus URL\n",
" text = re.sub(r'http\\S+', '', text)\n",
" # Menghapus mention (format @username)\n",
" text = re.sub(r'@[A-Za-z0-9_]+', '', text)\n",
" # Menghapus hashtag (format #tag)\n",
" text = re.sub(r'#\\w+', '', text)\n",
" # Menghapus emotikon dan karakter khusus\n",
" text = re.sub(r'[^\\w\\s]', '', text)\n",
" # Menghapus karakter selain huruf dan angka\n",
" text = re.sub(r'[^a-zA-Z0-9\\s]', '', text)\n",
" # Menghapus spasi tambahan\n",
" text = re.sub(r'\\s+', ' ', text).strip()\n",
" return text\n",
"\n",
"# Membersihkan kolom 'Comment' menggunakan fungsi clean_text\n",
"data['Comment'] = data['Comment'].apply(clean_text)\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "960321db-50d4-4fe7-9f31-daf3c41ea0f3",
"metadata": {},
"outputs": [
{
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" <th>2</th>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>1</td>\n",
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"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#CASEFOLDING\n",
"# Melakukan case folding pada kolom 'Comment'\n",
"data['Comment'] = data['Comment'].str.lower()\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "9b89efb8-c790-4c27-930e-a675e1ee1adf",
"metadata": {},
"outputs": [
{
"data": {
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" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" normalisasi \\\n",
"0 jam berapa saja lah skuy \n",
"1 bismillah hari ini banget gaiss yuk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04 \n",
"4 grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Membaca kamus normalisasi dari file CSV\n",
"normalized_word = pd.read_csv(\"normalisasi.csv\", encoding=\"latin1\")\n",
"normalized_word_dict = {}\n",
"for index, row in normalized_word.iterrows():\n",
" if row[0] not in normalized_word_dict:\n",
" normalized_word_dict[row[0]] = row[1]\n",
"\n",
"# Fungsi untuk menerapkan normalisasi ke teks\n",
"def normalized_term(document):\n",
" if not isinstance(document, str):\n",
" return document\n",
" return ' '.join(normalized_word_dict.get(term.lower(), term) for term in document.split())\n",
"\n",
"# Mengganti nilai NaN dalam kolom 'Comment' dengan string kosong\n",
"data['Comment'].fillna('', inplace=True)\n",
"\n",
"# Menerapkan normalisasi ke kolom 'Comment' dan menyimpan hasilnya di kolom 'normalisasi'\n",
"data['normalisasi'] = data['Comment'].apply(normalized_term)\n",
"\n",
"# Memindahkan kolom label ke paling belakang\n",
"label_column = data.pop('Label')\n",
"data['Label'] = label_column\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "544e0802-eeeb-453a-9022-2042a7a4f676",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Comment</th>\n",
" <th>normalisasi</th>\n",
" <th>stopwords</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>jam brp aja lah skuy</td>\n",
" <td>jam berapa saja lah skuy</td>\n",
" <td>jam skuy</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>bismillah hari ini banget gaiss yukk ramaikan</td>\n",
" <td>bismillah hari ini banget gaiss yuk ramaikan</td>\n",
" <td>bismillah banget gaiss yuk ramaikan</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk yuk beli gacornya</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04</td>\n",
" <td>pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa</td>\n",
" <td>grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" normalisasi \\\n",
"0 jam berapa saja lah skuy \n",
"1 bismillah hari ini banget gaiss yuk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04 \n",
"4 grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa \n",
"\n",
" stopwords \\\n",
"0 jam skuy \n",
"1 bismillah banget gaiss yuk ramaikan \n",
"2 yuk yuk beli gacornya \n",
"3 pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat \n",
"4 grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Membaca daftar stopwords dari file \"stopwords.txt\"\n",
"with open(\"stopwords.txt\", \"r\") as file:\n",
" stopwords = file.readlines()\n",
"stopwords = {word.strip() for word in stopwords} # Mengubah list menjadi set\n",
"\n",
"# Menambahkan stopwords tambahan\n",
"additional_stopwords = {\"kalo\", \"bisa2\", \"kayaknya\", \"gue\", \"sih\", \"matkul2\", \"l1nk3d1n\", \"fafifuwasweswos\", \"nder\", \"braw\", \n",
" \"ges\", \"nya\", \"an\", \"shg\", \"ya\", \"guys\", \"wkwkwk\", \"gua\", \"gais\", \"sender\", \"se7\", \"hahahahaft\", \"heeii\", \"deh\",\n",
" \"loh\", \"si\", \"geng\", \"\"}\n",
"stopwords |= additional_stopwords # Menggunakan operator | untuk menggabungkan set\n",
"\n",
"# Fungsi untuk menghapus stopwords dari teks\n",
"def remove_stopwords(text):\n",
" words = text.split() # Memisahkan teks menjadi kata-kata\n",
" filtered_words = [word for word in words if word.lower() not in stopwords] # Memfilter kata-kata yang bukan stopwords\n",
" return ' '.join(filtered_words) # Menggabungkan kata-kata yang tersisa menjadi teks kembali\n",
"\n",
"# Fungsi untuk menghapus angka dari teks\n",
"def remove_numbers(text):\n",
" words = text.split() # Memisahkan teks menjadi kata-kata\n",
" filtered_words = [word for word in words if not word.isdigit()] # Memfilter kata-kata yang bukan angka\n",
" return ' '.join(filtered_words) # Menggabungkan kata-kata yang tersisa menjadi teks kembali\n",
"\n",
"# Menghapus stopwords dari kolom 'Comment'\n",
"data['stopwords'] = data['normalisasi'].apply(remove_stopwords)\n",
"\n",
"# Menghapus angka dari kolom 'stopwords'\n",
"data['stopwords'] = data['stopwords'].apply(remove_numbers)\n",
"\n",
"# Memindahkan kolom label ke paling belakang\n",
"label_column = data.pop('Label')\n",
"data['Label'] = label_column\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "4e1aba20-493c-444c-815f-5d2af81e8dc5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Comment</th>\n",
" <th>normalisasi</th>\n",
" <th>stopwords</th>\n",
" <th>stemmed</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>jam brp aja lah skuy</td>\n",
" <td>jam berapa saja lah skuy</td>\n",
" <td>jam skuy</td>\n",
" <td>jam skuy</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>bismillah hari ini banget gaiss yukk ramaikan</td>\n",
" <td>bismillah hari ini banget gaiss yuk ramaikan</td>\n",
" <td>bismillah banget gaiss yuk ramaikan</td>\n",
" <td>bismillah banget gaiss yuk ramai</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk yuk beli gacornya</td>\n",
" <td>yuk yuk beli gacornya</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04</td>\n",
" <td>pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat</td>\n",
" <td>pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk rapat</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa</td>\n",
" <td>grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa</td>\n",
" <td>grand opening yuk sila rapat lokasi baru mie gacor id rizkaa</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" normalisasi \\\n",
"0 jam berapa saja lah skuy \n",
"1 bismillah hari ini banget gaiss yuk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04 \n",
"4 grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa \n",
"\n",
" stopwords \\\n",
"0 jam skuy \n",
"1 bismillah banget gaiss yuk ramaikan \n",
"2 yuk yuk beli gacornya \n",
"3 pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat \n",
"4 grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa \n",
"\n",
" stemmed \\\n",
"0 jam skuy \n",
"1 bismillah banget gaiss yuk ramai \n",
"2 yuk yuk beli gacornya \n",
"3 pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk rapat \n",
"4 grand opening yuk sila rapat lokasi baru mie gacor id rizkaa \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from Sastrawi.Stemmer.StemmerFactory import StemmerFactory\n",
"\n",
"# Buat objek stemmer\n",
"factory = StemmerFactory()\n",
"stemmer = factory.create_stemmer()\n",
"\n",
"# Fungsi untuk melakukan stemming pada teks\n",
"def stemmed_term(text):\n",
" # Memecah teks menjadi kata-kata\n",
" words = text.split()\n",
" # Melakukan stemming pada setiap kata\n",
" stemmed_words = [stemmer.stem(word) for word in words]\n",
" # Menggabungkan kata-kata yang telah distem\n",
" return ' '.join(stemmed_words)\n",
"\n",
"# Menerapkan stemming ke kolom 'stopwords' atau 'normalisasi'\n",
"data['stemmed'] = data['stopwords'].apply(stemmed_term)\n",
"\n",
"# Memindahkan kolom label ke paling belakang\n",
"label_column = data.pop('Label')\n",
"data['Label'] = label_column\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "3f06ff06-b66f-4740-89dc-b90415923a26",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Comment</th>\n",
" <th>normalisasi</th>\n",
" <th>stopwords</th>\n",
" <th>stemmed</th>\n",
" <th>tokens</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>jam brp aja lah skuy</td>\n",
" <td>jam berapa saja lah skuy</td>\n",
" <td>jam skuy</td>\n",
" <td>jam skuy</td>\n",
" <td>[jam, skuy]</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>bismillah hari ini banget gaiss yukk ramaikan</td>\n",
" <td>bismillah hari ini banget gaiss yuk ramaikan</td>\n",
" <td>bismillah banget gaiss yuk ramaikan</td>\n",
" <td>bismillah banget gaiss yuk ramai</td>\n",
" <td>[bismillah, banget, gaiss, yuk, ramai]</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk bisa yuk dapat untuk bisa beli gacornya</td>\n",
" <td>yuk yuk beli gacornya</td>\n",
" <td>yuk yuk beli gacornya</td>\n",
" <td>[yuk, yuk, beli, gacornya]</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04</td>\n",
" <td>yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04</td>\n",
" <td>pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat</td>\n",
" <td>pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk rapat</td>\n",
" <td>[pengin, makan, mie, pedess, daerah, tenggarang, banget, nih, daerah, kota, gaiss, yuk, rapat]</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa</td>\n",
" <td>grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa</td>\n",
" <td>grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa</td>\n",
" <td>grand opening yuk sila rapat lokasi baru mie gacor id rizkaa</td>\n",
" <td>[grand, opening, yuk, sila, rapat, lokasi, baru, mie, gacor, id, rizkaa]</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Comment \\\n",
"0 jam brp aja lah skuy \n",
"1 bismillah hari ini banget gaiss yukk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yg pengen makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yg gaiss yukk merapat 04 \n",
"4 grand opening yuk silahkan merapat ke lokasi terbaru mie gacor id s rizkaa \n",
"\n",
" normalisasi \\\n",
"0 jam berapa saja lah skuy \n",
"1 bismillah hari ini banget gaiss yuk ramaikan \n",
"2 yuk bisa yuk dapat untuk bisa beli gacornya \n",
"3 yang pengin makan mie pedess daerah tenggarang bisa banget nih daerah kota juga ada yang gaiss yuk merapat 04 \n",
"4 grand opening yuk silakan merapat ke lokasi terbaru mie gacor id si rizkaa \n",
"\n",
" stopwords \\\n",
"0 jam skuy \n",
"1 bismillah banget gaiss yuk ramaikan \n",
"2 yuk yuk beli gacornya \n",
"3 pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk merapat \n",
"4 grand opening yuk silakan merapat lokasi terbaru mie gacor id rizkaa \n",
"\n",
" stemmed \\\n",
"0 jam skuy \n",
"1 bismillah banget gaiss yuk ramai \n",
"2 yuk yuk beli gacornya \n",
"3 pengin makan mie pedess daerah tenggarang banget nih daerah kota gaiss yuk rapat \n",
"4 grand opening yuk sila rapat lokasi baru mie gacor id rizkaa \n",
"\n",
" tokens \\\n",
"0 [jam, skuy] \n",
"1 [bismillah, banget, gaiss, yuk, ramai] \n",
"2 [yuk, yuk, beli, gacornya] \n",
"3 [pengin, makan, mie, pedess, daerah, tenggarang, banget, nih, daerah, kota, gaiss, yuk, rapat] \n",
"4 [grand, opening, yuk, sila, rapat, lokasi, baru, mie, gacor, id, rizkaa] \n",
"\n",
" Label \n",
"0 1 \n",
"1 1 \n",
"2 0 \n",
"3 1 \n",
"4 1 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from nltk.tokenize import word_tokenize\n",
"\n",
"# Fungsi untuk melakukan tokenisasi pada teks\n",
"def tokenize_text(text):\n",
" # Melakukan tokenisasi pada teks menggunakan nltk\n",
" tokens = word_tokenize(text)\n",
" return tokens\n",
"\n",
"# Menerapkan tokenisasi ke kolom 'stemmed' dan menyimpan hasilnya di kolom 'tokens'\n",
"data['tokens'] = data['stemmed'].apply(tokenize_text)\n",
"\n",
"# Memindahkan kolom label ke paling belakang\n",
"label_column = data.pop('Label')\n",
"data['Label'] = label_column\n",
"\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "921278f7-d323-42e6-bf1a-089cdb23bf62",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Term TF\n",
"0 jam 0.500000\n",
"1 skuy 0.500000\n",
"2 bismillah 0.200000\n",
"3 banget 0.200000\n",
"4 gaiss 0.200000\n",
"5 yuk 0.200000\n",
"6 ramai 0.200000\n",
"7 yuk 0.500000\n",
"8 beli 0.250000\n",
"9 gacornya 0.250000\n",
"10 pengin 0.076923\n",
"11 makan 0.076923\n",
"12 mie 0.076923\n",
"13 pedess 0.076923\n",
"14 daerah 0.153846\n",
"15 tenggarang 0.076923\n",
"16 banget 0.076923\n",
"17 nih 0.076923\n",
"18 kota 0.076923\n",
"19 gaiss 0.076923\n"
]
}
],
"source": [
"def calc_TF(document):\n",
" TF_dict = {}\n",
" for term in document:\n",
" if term in TF_dict:\n",
" TF_dict[term] += 1\n",
" else:\n",
" TF_dict[term] = 1\n",
" \n",
" # Menghitung nilai TF pada tiap kata\n",
" total_terms = len(document)\n",
" for term in TF_dict:\n",
" TF_dict[term] = TF_dict[term] / total_terms\n",
" \n",
" return TF_dict\n",
"\n",
"# Menghitung TF untuk setiap dokumen\n",
"data['TF_dict'] = data['stemmed'].apply(lambda x: calc_TF(x.split()))\n",
"\n",
"# Membuat list kosong untuk menyimpan hasil perhitungan TF\n",
"tf_results = []\n",
"\n",
"# Memasukkan hasil perhitungan TF ke dalam list\n",
"for idx, row in data.iterrows():\n",
" for term, value in row['TF_dict'].items():\n",
" tf_results.append({'Term': term, 'TF': value})\n",
"\n",
"# Membuat DataFrame dari list hasil perhitungan TF\n",
"tf_results_df = pd.DataFrame(tf_results)\n",
"\n",
"# Menampilkan tabel hasil perhitungan TF\n",
"print(tf_results_df.head(20))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "236519e4-d153-4852-8764-142902b7dfdc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Term DF\n",
"0 jam 2\n",
"1 skuy 2\n",
"2 bismillah 7\n",
"3 banget 23\n",
"4 gaiss 2\n",
"5 yuk 45\n",
"6 ramai 1\n",
"7 beli 11\n",
"8 gacornya 6\n",
"9 pengin 3\n",
"10 makan 9\n",
"11 mie 32\n",
"12 pedess 1\n",
"13 daerah 1\n",
"14 tenggarang 5\n",
"15 nih 13\n",
"16 kota 1\n",
"17 rapat 5\n",
"18 grand 3\n",
"19 opening 3\n"
]
}
],
"source": [
"#Menghitung DF\n",
"def hitung_DF(kamus_TF):\n",
" frekuensi_DF = {}\n",
" # Menelusuri kamus TF dari setiap dokumen dan menambahkan\n",
" # pasangan (term, dokumen) pada kamus hitung_DF\n",
" for dokumen in kamus_TF:\n",
" for term in dokumen:\n",
" if term in frekuensi_DF:\n",
" frekuensi_DF[term] += 1\n",
" else:\n",
" frekuensi_DF[term] = 1\n",
" return frekuensi_DF\n",
"\n",
"DF = hitung_DF(data[\"TF_dict\"])\n",
"\n",
"# Konversi kamus DF ke dalam DataFrame\n",
"df_df = pd.DataFrame(list(DF.items()), columns=['Term', 'DF'])\n",
"\n",
"# Menampilkan tabel hasil perhitungan DF\n",
"print(df_df.head(20))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9334bd45-c70b-4d4c-a506-1facb606abb4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Term IDF\n",
"0 jam 5.357552\n",
"1 skuy 5.357552\n",
"2 bismillah 3.942515\n",
"3 banget 2.357552\n",
"4 gaiss 5.357552\n",
"5 yuk 1.418953\n",
"6 ramai 5.942515\n",
"7 beli 3.357552\n",
"8 gacornya 4.135160\n",
"9 pengin 4.942515\n",
"10 makan 3.620586\n",
"11 mie 1.898120\n",
"12 pedess 5.942515\n",
"13 daerah 5.942515\n",
"14 tenggarang 4.357552\n",
"15 nih 3.135160\n",
"16 kota 5.942515\n",
"17 rapat 4.357552\n",
"18 grand 4.942515\n",
"19 opening 4.942515\n"
]
}
],
"source": [
"# Menghitung IDF\n",
"def calc_IDF(n_document, DF):\n",
" IDF_Dict = {}\n",
" for term in DF:\n",
" IDF_Dict[term] = np.log2(n_document / (DF[term] + 1))\n",
" return IDF_Dict\n",
"\n",
"# Jumlah dokumen\n",
"n_document = len(data)\n",
"\n",
"# Menghitung IDF\n",
"IDF = calc_IDF(n_document, DF)\n",
"\n",
"# Membuat DataFrame untuk menyimpan hasil perhitungan IDF\n",
"idf_df = pd.DataFrame(IDF.items(), columns=['Term', 'IDF'])\n",
"\n",
"# Menampilkan tabel hasil perhitungan IDF\n",
"print(idf_df.head(20))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "fa7a86e3-024a-456e-8aea-8d1d16d8d1d5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Term TF-IDF\n",
"0 jam 2.678776\n",
"1 skuy 2.678776\n",
"2 bismillah 0.788503\n",
"3 banget 0.471510\n",
"4 gaiss 1.071510\n",
"5 yuk 0.283791\n",
"6 ramai 1.188503\n",
"7 yuk 0.709476\n",
"8 beli 0.839388\n",
"9 gacornya 1.033790\n",
"10 pengin 0.380193\n",
"11 makan 0.278507\n",
"12 mie 0.146009\n",
"13 pedess 0.457117\n",
"14 daerah 0.914233\n",
"15 tenggarang 0.335196\n",
"16 banget 0.181350\n",
"17 nih 0.241166\n",
"18 kota 0.457117\n",
"19 gaiss 0.412119\n"
]
}
],
"source": [
"# Fungsi untuk menghitung TF-IDF\n",
"def calc_TF_IDF(TF, IDF):\n",
" TF_IDF_Dict = {}\n",
" # Untuk setiap term dalam TF\n",
" for term in TF:\n",
" # Mengalikan nilai TF dengan nilai IDF\n",
" TF_IDF_Dict[term] = TF[term] * IDF[term]\n",
" return TF_IDF_Dict\n",
"\n",
"# Menerapkan fungsi calc_TF_IDF ke setiap dokumen dalam DataFrame\n",
"data['TF-IDF_dict'] = data['TF_dict'].apply(lambda x: calc_TF_IDF(x, IDF))\n",
"\n",
"# Membuat list kosong untuk menyimpan hasil perhitungan TF-IDF\n",
"tf_idf_results = []\n",
"\n",
"# Memasukkan hasil perhitungan TF-IDF ke dalam list\n",
"for idx, row in data.iterrows():\n",
" for term, value in row['TF-IDF_dict'].items():\n",
" tf_idf_results.append({'Term': term, 'TF-IDF': value})\n",
"\n",
"# Membuat DataFrame dari list hasil perhitungan TF-IDF\n",
"tf_idf_results_df = pd.DataFrame(tf_idf_results)\n",
"\n",
"# Menampilkan tabel hasil perhitungan TF-IDF\n",
"print(tf_idf_results_df.head(20))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "e448ad9a-77ca-4638-aa97-36894b82dc7b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Term Persuasif tidakpersuasif\n",
"0 mantap 4 0\n",
"1 enak 14 0\n",
"2 sukses 4 0\n"
]
}
],
"source": [
"# Membuat fungsi untuk menghitung kemunculan frekuensi term persuasif dan tidak persuasif\n",
"def hitung_frekuensi_persuasif_tidakpersuasif(data, term):\n",
" frekuensi_persuasif = 0\n",
" frekuensi_tidakpersuasif = 0\n",
" # Menelusuri setiap baris data\n",
" for idx, row in data.iterrows():\n",
" # Jika term ada dalam TF-IDF dict dan memiliki nilai TF-IDF yang lebih besar dari 0\n",
" if term in row['TF-IDF_dict'] and row['TF-IDF_dict'][term] > 0:\n",
" # Jika label persuasif, tambahkan ke frekuensi_persuasif\n",
" if row['Label'] == 1:\n",
" frekuensi_persuasif += 1\n",
" # Jika label tidak persuasif, tambahkan ke frekuensi_tidakpersuasif\n",
" elif row['Label'] == 0:\n",
" frekuensi_tidakpersuasif += 0\n",
" return frekuensi_persuasif, frekuensi_tidakpersuasif\n",
"\n",
"# Membuat list term yang akan dihitung frekuensi persuasif dan tidakpersuasif\n",
"list_term = ['mantap', 'enak', 'sukses']\n",
"\n",
"# Membuat list kosong untuk menyimpan hasil perhitungan frekuensi persuasif dan tidakpersuasif\n",
"frekuensi_results = []\n",
"\n",
"# Memasukkan hasil perhitungan frekuensi persuasif dan tidakpersuasif ke dalam list\n",
"for term in list_term:\n",
" frekuensi_persuasif, frekuensi_tidakpersuasif = hitung_frekuensi_persuasif_tidakpersuasif(data, term)\n",
" frekuensi_results.append({'Term': term, 'Persuasif': frekuensi_persuasif, 'tidakpersuasif': frekuensi_tidakpersuasif})\n",
"\n",
"# Membuat DataFrame dari list hasil perhitungan frekuensi persuasif dan tidak persuasif\n",
"frekuensi_df = pd.DataFrame(frekuensi_results)\n",
"\n",
"# Menampilkan tabel hasil perhitungan frekuensi persuasif dan tidakpersuasif\n",
"print(frekuensi_df)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "a271932e-a69e-4b96-ae80-b680552e2821",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_train = 98\n",
"x_test = 25\n",
"y_train = 98\n",
"y_test = 25\n"
]
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"# Definisikan X dan y\n",
"X = data['stemmed']\n",
"y = data['Label']\n",
"\n",
"# Memisahkan data menjadi data latih dan data uji\n",
"x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=42)\n",
"\n",
"# Menginisialisasi TF-IDF Vectorizer\n",
"tfidf_vectorizer = TfidfVectorizer()\n",
"\n",
"# Melakukan vectorization pada data latih dan uji\n",
"X_train_tfidf = tfidf_vectorizer.fit_transform(x_train)\n",
"X_test_tfidf = tfidf_vectorizer.transform(x_test)\n",
"\n",
"# Tampilkan panjang data latih dan data uji\n",
"print(\"x_train = \", len(x_train))\n",
"print(\"x_test = \", len(x_test))\n",
"print(\"y_train = \", len(y_train))\n",
"print(\"y_test = \", len(y_test))\n",
"\n",
"# Gabungkan data latih dengan labelnya\n",
"#train_df = pd.DataFrame({'term': [], 'label': []})\n",
"#for text, label in zip(x_train, y_train):\n",
" #terms = text.split() # Pisahkan teks menjadi term\n",
" #train_df = pd.concat([train_df, pd.DataFrame({'term': terms, 'label': label})])\n",
"\n",
"# Gabungkan data uji dengan labelnya\n",
"#test_df = pd.DataFrame({'term': [], 'label': []})\n",
"#for text, label in zip(x_test, y_test):\n",
" #terms = text.split() # Pisahkan teks menjadi term\n",
" #test_df = pd.concat([test_df, pd.DataFrame({'term': terms, 'label': label})])\n",
"\n",
"# Menyimpan data ke dalam file Excel\n",
"#with pd.ExcelWriter('term_datagacor.xlsx') as writer:\n",
" #train_df.to_excel(writer, sheet_name='Train Data', index=False)\n",
" #test_df.to_excel(writer, sheet_name='Test Data', index=False)\n",
"\n",
"#print(\"Data training dan testing per term telah disimpan dalam file Excel (term_data.xlsx).\")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "f719ba73-acbb-427c-9f6a-8a0f916174bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Jumlah data persuasif pada data training: 79\n",
"Jumlah data tidak persuasif pada data training: 19\n",
"Jumlah data persuasif pada data testing: 21\n",
"Jumlah data tidak persuasif pada data testing: 4\n",
"Jumlah term pada dokumen training persuasif: 505\n",
"Jumlah term pada dokumen training tidak persuasif: 75\n"
]
}
],
"source": [
"from collections import Counter\n",
"\n",
"# Menggabungkan teks persuasif dan tidak persuasif berdasarkan label\n",
"persuasif_text = ' '.join(x_train[y_train == 1])\n",
"tidakpersuasif_text = ' '.join(x_train[y_train == 0])\n",
"\n",
"# Membagi teks persuasif dan tidak persuasif menjadi term\n",
"persuasif_terms = persuasif_text.split()\n",
"tidakpersuasif_terms = tidakpersuasif_text.split()\n",
"\n",
"# Menghitung jumlah term pada teks persuasif dan tidak persuasif\n",
"jumlah_term_persuasif = len(persuasif_terms)\n",
"jumlah_term_tidakpersuasif = len(tidakpersuasif_terms)\n",
"\n",
"# Menghitung jumlah data persuasif dan tidak persuasif pada data pelatihan\n",
"counter_train = Counter(y_train)\n",
"jumlah_data_persuasif_train = counter_train[1]\n",
"jumlah_data_tidakpersuasif_train = counter_train[0]\n",
"\n",
"# Menghitung jumlah data persuasif dan tidak persuasif pada data pengujian\n",
"counter_test = Counter(y_test)\n",
"jumlah_data_persuasif_test = counter_test[1]\n",
"jumlah_data_tidakpersuasif_test = counter_test[0]\n",
"\n",
"# Menampilkan jumlah data persuasif dan tidak persuasif pada data pelatihan dan pengujian\n",
"print(\"Jumlah data persuasif pada data training:\", jumlah_data_persuasif_train)\n",
"print(\"Jumlah data tidak persuasif pada data training:\", jumlah_data_tidakpersuasif_train)\n",
"print(\"Jumlah data persuasif pada data testing:\", jumlah_data_persuasif_test)\n",
"print(\"Jumlah data tidak persuasif pada data testing:\", jumlah_data_tidakpersuasif_test)\n",
"\n",
"# Menampilkan jumlah term persuasif dan tidak persuasif pada data pelatihan\n",
"print(\"Jumlah term pada dokumen training persuasif:\", jumlah_term_persuasif)\n",
"print(\"Jumlah term pada dokumen training tidak persuasif:\", jumlah_term_tidakpersuasif)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "f22f19e8-91e5-4b78-9aeb-9611083105da",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import CountVectorizer\n",
"\n",
"# Inisialisasi CountVectorizer\n",
"vectorizer = CountVectorizer()\n",
"\n",
"# Melakukan vectorization pada data latih\n",
"x_train_vec = vectorizer.fit_transform(x_train)\n",
"\n",
"# Melakukan vectorization pada data uji\n",
"x_test_vec = vectorizer.transform(x_test)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "8fd60ff0-bfd0-4202-88ba-0ed0cad96d82",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-1 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-1 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-1 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-1 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-1 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-1 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-1 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-1 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MultinomialNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;MultinomialNB<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.naive_bayes.MultinomialNB.html\">?<span>Documentation for MultinomialNB</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>MultinomialNB()</pre></div> </div></div></div></div>"
],
"text/plain": [
"MultinomialNB()"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.naive_bayes import MultinomialNB\n",
"\n",
"# Inisialisasi model Naive Bayes Classifier\n",
"naive_bayes = MultinomialNB()\n",
"\n",
"# Melatih model pada data latih yang telah disesuaikan\n",
"naive_bayes.fit(X_train_tfidf,y_train)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "0a1890a5-a88f-42c7-92d2-60eb7aae05a5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 2 2]\n",
" [ 1 20]]\n"
]
}
],
"source": [
"from sklearn.metrics import confusion_matrix\n",
"\n",
"# Lakukan prediksi pada data uji\n",
"y_pred = naive_bayes.predict(x_test_vec)\n",
"\n",
"# Hitung confusion matrix\n",
"cm = confusion_matrix(y_test, y_pred)\n",
"print(cm)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "9075e981-f1da-49ae-bc7f-e66413485242",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Akurasi Model Naive Bayes : 88.00%\n",
"Rata-Rata Precision : 87.03%\n",
"Rata-Rata Recall : 88.00%\n",
"Rata-Rata F1-score : 87.28%\n",
"\n",
"Laporan Klasifikasi :\n",
" precision recall f1-score support\n",
"\n",
" 0 0.67 0.50 0.57 4\n",
" 1 0.91 0.95 0.93 21\n",
"\n",
" accuracy 0.88 25\n",
" macro avg 0.79 0.73 0.75 25\n",
"weighted avg 0.87 0.88 0.87 25\n",
"\n"
]
}
],
"source": [
"from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report\n",
"\n",
"# Hitung metrik evaluasi\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"classification_rep = classification_report(y_test, y_pred, target_names=['0', '1'])\n",
"precision = precision_score(y_test, y_pred, average='weighted')\n",
"recall = recall_score(y_test, y_pred, average='weighted')\n",
"f1 = f1_score(y_test, y_pred, average='weighted')\n",
"\n",
"# Cetak hasil evaluasi\n",
"print('Akurasi Model Naive Bayes :', '{:.2f}%'.format(accuracy * 100))\n",
"print('Rata-Rata Precision :', '{:.2f}%'.format(precision * 100))\n",
"print('Rata-Rata Recall :', '{:.2f}%'.format(recall * 100))\n",
"print('Rata-Rata F1-score :', '{:.2f}%'.format(f1 * 100))\n",
"print(\"\\nLaporan Klasifikasi :\\n\", classification_rep)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "baf63f28-1163-4eb3-9f59-057392f63c65",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from wordcloud import WordCloud\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Fungsi untuk mengembalikan warna hijau untuk setiap kata\n",
"def green_color_func(word, font_size, position, orientation, random_state=None, **kwargs):\n",
" return 'rgb(0, 128, 0)' # Warna hijau dalam format RGB\n",
"\n",
"# Ambil data berdasarkan label\n",
"persuasif_data = data[data['Label'] == 1]\n",
"tidakpersuasif_data = data[data['Label'] == 0]\n",
"\n",
"# Gabungkan semua teks menjadi satu teks panjang untuk masing-masing kelompok\n",
"all_text_persuasif = ' '.join(persuasif_data['stemmed'])\n",
"all_text_tidakpersuasif = ' '.join(tidakpersuasif_data['stemmed'])\n",
"\n",
"# Buat set kata-kata unik dari teks positif dan negatif\n",
"words_in_persuasif = set(all_text_persuasif.split())\n",
"words_in_tidakpersuasif = set(all_text_tidakpersuasif.split())\n",
"\n",
"# Filter teks persuasif untuk hanya memasukkan kata-kata yang tidak ada di teks tidak persuasif\n",
"filtered_text_persuasif = ' '.join(word for word in all_text_persuasif.split() if word not in words_in_tidakpersuasif)\n",
"\n",
"# Inisialisasi WordCloud dengan parameter collocations=False dan fungsi warna hijau\n",
"wordcloud_persuasif = WordCloud(width=800, height=400, background_color='white', color_func=green_color_func, collocations=False).generate(filtered_text_persuasif)\n",
"\n",
"# Tampilkan WordCloud untuk kata-kata persuasif\n",
"plt.figure(figsize=(10, 6))\n",
"plt.imshow(wordcloud_persuasif, interpolation='bilinear')\n",
"plt.axis('off')\n",
"plt.title('WordCloud Kata persuasif')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "8190c8e1-76a2-4205-b794-4a4a83e2f913",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from wordcloud import WordCloud\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Fungsi untuk mengembalikan warna hijau untuk setiap kata\n",
"def green_color_func(word, font_size, position, orientation, random_state=None, **kwargs):\n",
" return 'rgb(255, 0, 0)'\n",
"\n",
"# Ambil data berdasarkan label\n",
"persuasif_data = data[data['Label'] == 1]\n",
"tidakpersuasif_data = data[data['Label'] == 0]\n",
"\n",
"# Gabungkan semua teks menjadi satu teks panjang untuk masing-masing kelompok\n",
"all_text_tidakpersuasif = ' '.join(tidakpersuasif_data['stemmed'])\n",
"\n",
"# Buat set kata-kata unik dari teks tidak persuasif\n",
"words_in_tidakpersuasif = set(all_text_tidakpersuasif.split())\n",
"\n",
"# Filter teks tidak persuasif untuk hanya memasukkan kata-kata yang tidak ada di teks persuasif\n",
"filtered_text_tidakpersuasif = ' '.join(word for word in all_text_tidakpersuasif.split() if word not in words_in_persuasif)\n",
"\n",
"# Inisialisasi WordCloud dengan parameter collocations=False dan fungsi warna hijau\n",
"wordcloud_tidakpersuasif = WordCloud(width=800, height=400, background_color='white', color_func=green_color_func, collocations=False).generate(filtered_text_tidakpersuasif)\n",
"\n",
"# Tampilkan WordCloud untuk kata-kata tidak persuasif\n",
"plt.figure(figsize=(10, 6))\n",
"plt.imshow(wordcloud_tidakpersuasif, interpolation='bilinear')\n",
"plt.axis('off')\n",
"plt.title('WordCloud Kata tidak persuasif')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "0eea8207-8f49-46d4-8ca3-dd765962db8c",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"# Data jumlah dokumen untuk setiap kelas\n",
"class_counts = data['Label'].value_counts()\n",
"\n",
"# Label untuk setiap kelas dengan jumlah data\n",
"labels = [f'{label} ({count})' for label, count in zip(['Persuasif', 'tidakpersuasif'], class_counts)]\n",
"\n",
"# Warna untuk setiap kelas\n",
"colors = ['orange', 'blue']\n",
"\n",
"# Membuat pie chart\n",
"plt.pie(class_counts, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)\n",
"\n",
"# Menambahkan judul\n",
"plt.title('Persentase Kelas Sentimen')\n",
"\n",
"# Menampilkan pie chart\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "053baefe-b41c-4222-a449-754a6bd9687d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}