joyadriansyah/e-commerce-sentiment-bahasa-indonesia

--- license: mit task_categories: - text-classification language: - id tags: - sentiment-analysis - indonesian - e-commerce - reviews size_categories: - 10K<n<100K --- # E-Commerce Sentiment Analysis Dataset (Indonesian) Dataset komentar dan ulasan produk e-commerce dalam Bahasa Indonesia untuk analisis sentiment. ## Dataset Summary Dataset ini berisi 21,840 komentar e-commerce dalam Bahasa Indonesia yang telah dilabeli dengan sentiment (positif, netral, negatif). Dataset mencakup berbagai jenis komentar termasuk sarkasme dan ironi yang umum ditemukan dalam ulasan online. ## Dataset Structure ### Data Fields - `comment` (string): Komentar atau ulasan produk - `rating` (int): Rating produk (1-5) - `sentiment` (string): Label sentiment - "positive", "neutral", atau "negative" ### Data Splits Dataset terdiri dari: - **simple.json**: 17,000 samples (data utama) - **challange.json**: 4,840 samples (data challenging termasuk sarkasme) - **Total**: 21,840 samples ### Data Distribution - Positive: 7,480 (34.3%) - Negative: 7,470 (34.2%) - Neutral: 6,890 (31.5%) ## Usage ```python from datasets import load_dataset # Load dataset dataset = load_dataset("AIbnuHibban/e-commerce-sentiment-bahasa-indonesia") # Or load from JSON files directly import json import pandas as pd with open('simple.json', 'r') as f: data = json.load(f) df = pd.DataFrame(data) ``` ## Example Data ```json { "comment": "Barang mantap sekali! Worth it banget dengan harganya", "rating": 5, "sentiment": "positive" } ``` ```json { "comment": "Wow, senang banget ditipu! Barang jelek tapi harganya mahal", "rating": 1, "sentiment": "negative" } ``` ## Characteristics - **Language**: Bahasa Indonesia (Indonesian) - **Domain**: E-commerce product reviews - **Special Features**: Includes sarcastic and ironic comments - **Use Cases**: - Sentiment analysis - Opinion mining - Customer feedback analysis - Sarcasm detection ## Citation If you use this dataset, please cite: ``` @dataset{e_commerce_sentiment_bahasa_indonesia, author = {AIbnuHibban}, title = {E-Commerce Sentiment Analysis Dataset (Indonesian)}, year = {2025}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/AIbnuHibban/e-commerce-sentiment-bahasa-indonesia} } ``` ## License MIT License