From 12c1b65bb4f03a1f1db17473d7cc9454b0a2a630 Mon Sep 17 00:00:00 2001 From: 202210715095 FAHRIZAL SETIAWAN <202210715095@mhs.ubharajaya.ac.id> Date: Sat, 22 Nov 2025 08:46:59 +0700 Subject: [PATCH] Upload files to "/" --- Fitur_Ekstraksi_BOW (1).ipynb | 318 ++++++++++++++++++++++++++++++++++ 1 file changed, 318 insertions(+) create mode 100644 Fitur_Ekstraksi_BOW (1).ipynb diff --git a/Fitur_Ekstraksi_BOW (1).ipynb b/Fitur_Ekstraksi_BOW (1).ipynb new file mode 100644 index 0000000..a8ddf5d --- /dev/null +++ b/Fitur_Ekstraksi_BOW (1).ipynb @@ -0,0 +1,318 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qBYcPYAb059g", + "outputId": "ac27d686-2d15-4b2f-cc13-963fadf3100f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Masukkan jumlah dokumen yang ingin dimasukkan: 4\n" + ] + } + ], + "source": [ + "# Input jumlah dokumen\n", + "import pandas as pd\n", + "n = int(input(\"Masukkan jumlah dokumen yang ingin dimasukkan: \"))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "mo-yt5Ob1N8j", + "outputId": "21da9ff1-2954-4b39-b207-017d03d0294f" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Masukkan teks untuk dokumen ke-1: saya ingin memasak\n", + "Masukkan teks untuk dokumen ke-2: masak ayam goreng sepertinya enak\n", + "Masukkan teks untuk dokumen ke-3: enakan ayam goreng atau ikan goreng\n", + "Masukkan teks untuk dokumen ke-4: dibarengi dengan saus sepertinya akan lezat\n", + "\n", + "=== Dokumen yang Dimasukkan ===\n", + "Doc 1: saya ingin memasak\n", + "Doc 2: masak ayam goreng sepertinya enak\n", + "Doc 3: enakan ayam goreng atau ikan goreng\n", + "Doc 4: dibarengi dengan saus sepertinya akan lezat\n" + ] + } + ], + "source": [ + "# Input teks dokumen satu per satu\n", + "documents = []\n", + "for i in range(n):\n", + " teks = input(f\"Masukkan teks untuk dokumen ke-{i+1}: \")\n", + " documents.append(teks)\n", + "\n", + "print(\"\\n=== Dokumen yang Dimasukkan ===\")\n", + "for i, doc in enumerate(documents):\n", + " print(f\"Doc {i+1}: {doc}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FkmxRAFq1oDK", + "outputId": "e451e801-161a-4618-f047-97893cc7a68b" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== Hasil Tokenisasi ===\n", + "Doc 1: ['saya', 'ingin', 'memasak']\n", + "Doc 2: ['masak', 'ayam', 'goreng', 'sepertinya', 'enak']\n", + "Doc 3: ['enakan', 'ayam', 'goreng', 'atau', 'ikan', 'goreng']\n", + "Doc 4: ['dibarengi', 'dengan', 'saus', 'sepertinya', 'akan', 'lezat']\n" + ] + } + ], + "source": [ + "# Tahap Tokenisasi\n", + "tokenized_docs = []\n", + "for doc in documents:\n", + " tokens = doc.lower().split()\n", + " tokenized_docs.append(tokens)\n", + "\n", + "print(\"\\n=== Hasil Tokenisasi ===\")\n", + "for i, tokens in enumerate(tokenized_docs):\n", + " print(f\"Doc {i+1}: {tokens}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ybC1Vo2C_c3q", + "outputId": "f1e97af1-3af9-4dee-b59a-2a8baa79a370" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== Corpus Keseluruhan (Semua Kata dari Semua Dokumen) ===\n", + "['saya', 'ingin', 'memasak', 'masak', 'ayam', 'goreng', 'sepertinya', 'enak', 'enakan', 'ayam', 'goreng', 'atau', 'ikan', 'goreng', 'dibarengi', 'dengan', 'saus', 'sepertinya', 'akan', 'lezat']\n", + "Jumlah total kata dalam seluruh dokumen: 20\n" + ] + } + ], + "source": [ + "# Pembuatan Corpus\n", + "corpus_all = [word for doc in tokenized_docs for word in doc]\n", + "\n", + "print(\"\\n=== Corpus Keseluruhan (Semua Kata dari Semua Dokumen) ===\")\n", + "print(corpus_all)\n", + "print(f\"Jumlah total kata dalam seluruh dokumen: {len(corpus_all)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "s6S-Ma4R1xuq", + "outputId": "7643748e-937e-4724-8db0-0a768ad7182f" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== Vocabulary (Kata Unik) ===\n", + "['akan', 'atau', 'ayam', 'dengan', 'dibarengi', 'enak', 'enakan', 'goreng', 'ikan', 'ingin', 'lezat', 'masak', 'memasak', 'saus', 'saya', 'sepertinya']\n", + "Jumlah kata unik (vocabulary size): 16\n", + "\n", + "=== Vocabulary (Kata Unik) ===\n", + " 1. akan\n", + " 2. atau\n", + " 3. ayam\n", + " 4. dengan\n", + " 5. dibarengi\n", + " 6. enak\n", + " 7. enakan\n", + " 8. goreng\n", + " 9. ikan\n", + "10. ingin\n", + "11. lezat\n", + "12. masak\n", + "13. memasak\n", + "14. saus\n", + "15. saya\n", + "16. sepertinya\n", + "\n", + "Jumlah kata unik (vocabulary size): 16\n" + ] + } + ], + "source": [ + "# Pembuatan Vocabulary\n", + "vocabulary = sorted(set(corpus_all))\n", + "\n", + "print(\"\\n=== Vocabulary (Kata Unik) ===\")\n", + "print(vocabulary)\n", + "print(f\"Jumlah kata unik (vocabulary size): {len(vocabulary)}\")\n", + "\n", + "\n", + "vocabulary = sorted(set(corpus_all))\n", + "\n", + "print(\"\\n=== Vocabulary (Kata Unik) ===\")\n", + "for idx, word in enumerate(vocabulary, start=1):\n", + " print(f\"{idx:>2}. {word}\")\n", + "print(f\"\\nJumlah kata unik (vocabulary size): {len(vocabulary)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ShevCTva2Fg9" + }, + "outputs": [], + "source": [ + "# Representasi Numerik (Matriks BoW)\n", + "bow_matrix = []\n", + "for doc in tokenized_docs:\n", + " vector = [doc.count(word) for word in vocabulary]\n", + " bow_matrix.append(vector)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-yB6D2pY2M0E", + "outputId": "b6b2f4d3-da8b-4aee-e9ce-034def4d5cf7" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Matriks Bag of Words ===\n", + " ai belajar dan data di kampus mahasiswa nlp saya science suka\n", + "D1 0 1 0 0 1 1 0 1 1 0 0\n", + "D2 1 1 0 0 0 0 0 0 1 0 1\n", + "D3 0 1 1 1 0 0 1 1 0 1 0\n" + ] + } + ], + "source": [ + "df_bow = pd.DataFrame(bow_matrix, columns=vocabulary)\n", + "df_bow.index = [f\"D{i}\" for i in range(1, len(documents)+1)] # ubah label indeks jadi D1, D2, D3\n", + "\n", + "print(\"\\n=== Matriks Bag of Words ===\")\n", + "print(df_bow)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8ruf5vKL2rGD", + "outputId": "65a4674e-1c01-4833-ec55-f66f77b8b6c2" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Tabel Frekuensi Kata (Keseluruhan Dokumen) ===\n", + " Kata Frekuensi\n", + "0 belajar 3\n", + "1 nlp 2\n", + "2 saya 2\n", + "3 dan 1\n", + "4 ai 1\n", + "5 data 1\n", + "6 di 1\n", + "7 mahasiswa 1\n", + "8 kampus 1\n", + "9 science 1\n", + "10 suka 1\n", + "Frekuensi kata: 11\n" + ] + } + ], + "source": [ + "# Membuat Tabel Frekuensi Kata (Total dari seluruh dokumen)\n", + "word_frequencies = df_bow.sum().sort_values(ascending=False).reset_index()\n", + "word_frequencies.columns = [\"Kata\", \"Frekuensi\"]\n", + "\n", + "print(\"\\n=== Tabel Frekuensi Kata (Keseluruhan Dokumen) ===\")\n", + "print(word_frequencies)\n", + "print(f\"Frekuensi kata: {len(word_frequencies)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NQjExannHuj0" + }, + "outputs": [], + "source": [] + } + ], + "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 +} \ No newline at end of file