202210715070-LUSIANA-SITUMORANG/Praktikum-NLP
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Upload files to "/"

Browse Source
This commit is contained in:
202210715070 LUSIANA SITUMORANG 2026-01-20 23:26:56 +07:00
parent 5533fc2ceb
commit b5a069dd7f
1 changed files with 260 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

260
N_Gram.ipynb Normal file
View File

@ -0,0 +1,260 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "JVPdWpz3hhbj"
},
"source": [
"\n"
]
},
{
"cell_type": "code",
"source": [
"# =========================\n",
"# 1. IMPORT LIBRARY\n",
"# =========================\n",
"import re\n",
"import pandas as pd\n",
"from sklearn.feature_extraction.text import CountVectorizer"
],
"metadata": {
"id": "e4-gyAeqOK31"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# =========================\n",
"# 2. DATA TEKS MANUAL\n",
"# =========================\n",
"texts = [\n",
" \"saya suka belajar data science\",\n",
" \"machine learning adalah bagian dari data science\",\n",
" \"belajar python sangat menyenangkan\"\n",
"]"
],
"metadata": {
"id": "TGtk0NFNOPXo"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# =========================\n",
"# 3. PREPROCESSING (MODIFIKASI)\n",
"# =========================\n",
"def clean_text(text):\n",
" text = text.lower()\n",
" text = re.sub(r\"[^a-z\\s]\", \"\", text)\n",
" text = re.sub(r\"\\s+\", \" \", text).strip()\n",
" return text\n",
"\n",
"texts_cleaned = [clean_text(t) for t in texts]"
],
"metadata": {
"id": "gtVIwpAaOTFq"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "4Mvva3v65h1v"
},
"source": [
"# **UNIGRAM**"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1cub_VJnUJMl",
"outputId": "86744608-6288-4962-da15-bc77f1186ac2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"=== UNIGRAM ===\n",
" adalah bagian belajar dari data learning machine menyenangkan \\\n",
"0 0 0 1 0 1 0 0 0 \n",
"1 1 1 0 1 1 1 1 0 \n",
"2 0 0 1 0 0 0 0 1 \n",
"\n",
" python sangat saya science suka \n",
"0 0 0 1 1 1 \n",
"1 0 0 0 1 0 \n",
"2 1 1 0 0 0 \n"
]
}
],
"source": [
"unigram_vectorizer = CountVectorizer(ngram_range=(1,1))\n",
"X_uni = unigram_vectorizer.fit_transform(texts_cleaned)\n",
"\n",
"df_unigram = pd.DataFrame(\n",
" X_uni.toarray(),\n",
" columns=unigram_vectorizer.get_feature_names_out()\n",
")\n",
"\n",
"print(\"=== UNIGRAM ===\")\n",
"print(df_unigram)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Vstwt996-FrS"
},
"source": [
"# **BIGRAM**"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "XRIY4qgTVbjl",
"outputId": "75895ab7-8b5e-4113-e9f8-a613858a109e"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"=== BIGRAM ===\n",
" adalah bagian bagian dari belajar data belajar python dari data \\\n",
"0 0 0 1 0 0 \n",
"1 1 1 0 0 1 \n",
"2 0 0 0 1 0 \n",
"\n",
" data science learning adalah machine learning python sangat \\\n",
"0 1 0 0 0 \n",
"1 1 1 1 0 \n",
"2 0 0 0 1 \n",
"\n",
" sangat menyenangkan saya suka suka belajar \n",
"0 0 1 1 \n",
"1 0 0 0 \n",
"2 1 0 0 \n"
]
}
],
"source": [
"bigram_vectorizer = CountVectorizer(ngram_range=(2,2))\n",
"X_bi = bigram_vectorizer.fit_transform(texts_cleaned)\n",
"\n",
"df_bigram = pd.DataFrame(\n",
" X_bi.toarray(),\n",
" columns=bigram_vectorizer.get_feature_names_out()\n",
")\n",
"\n",
"print(\"\\n=== BIGRAM ===\")\n",
"print(df_bigram)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "E6n1IU8X-G9S"
},
"source": [
"# **TRIGRAM**"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BIRARsj2FHJg",
"outputId": "141e0aeb-23a0-4996-84e1-36477888587f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"=== UNIGRAM + BIGRAM ===\n",
" adalah adalah bagian bagian bagian dari belajar belajar data \\\n",
"0 0 0 0 0 1 1 \n",
"1 1 1 1 1 0 0 \n",
"2 0 0 0 0 1 0 \n",
"\n",
" belajar python dari dari data data ... menyenangkan python \\\n",
"0 0 0 0 1 ... 0 0 \n",
"1 0 1 1 1 ... 0 0 \n",
"2 1 0 0 0 ... 1 1 \n",
"\n",
" python sangat sangat sangat menyenangkan saya saya suka science suka \\\n",
"0 0 0 0 1 1 1 1 \n",
"1 0 0 0 0 0 1 0 \n",
"2 1 1 1 0 0 0 0 \n",
"\n",
" suka belajar \n",
"0 1 \n",
"1 0 \n",
"2 0 \n",
"\n",
"[3 rows x 25 columns]\n"
]
}
],
"source": [
"combined_vectorizer = CountVectorizer(ngram_range=(1,2))\n",
"X_combined = combined_vectorizer.fit_transform(texts_cleaned)\n",
"\n",
"df_combined = pd.DataFrame(\n",
" X_combined.toarray(),\n",
" columns=combined_vectorizer.get_feature_names_out()\n",
")\n",
"\n",
"print(\"\\n=== UNIGRAM + BIGRAM ===\")\n",
"print(df_combined)"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"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": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}