A Python NLP project to detect social media hate speech in Indonesian language.
-
Updated
May 5, 2024 - Python
A Python NLP project to detect social media hate speech in Indonesian language.
A curated list of NLP resources for Bahasa Indonesia and Indonesia's regional languages
Indonesian Text-to-SQL benchmark for LLM evaluation with 30 scenarios across two open databases.
IdSarcasm: Benchmarking and Evaluating Language Models for Indonesian Sarcasm Detection (Suhartono et al., 2024)
Quantization research for compiler-verified LLM systems. Three arms: (A) Phase D IntLLM 1.58-bit ternary, 3 gates PASS; (B) v3.1 adaptive KV cache quant, 7/9 cells; (C) Phase E bilingual ID+EN, corpus v1.0 25.67B tokens, E2.4 honest negative result. In-kernel via FajarOS Nova. Apache 2.0. Made in Indonesia.
Indonesian SMS spam classifier — SVM, Logistic Regression, and XGBoost compared with hyperparameter tuning.
IndoELECTRA: Pre-Trained Language Model for Indonesian Language Understanding
SentiRank is a thesis-stage decision-support dashboard for Spotify review analysis using IndoBERT sentiment inference, SVM aspect classification, and AHP/Fuzzy AHP ranking with a Next.js frontend and FastAPI microservices.
Modern NLP toolkit for Indonesian and regional languages.
Multi-label hate speech & abusive language detection for Indonesian tweets using deep learning
Indonesian Gojek review sentiment analysis comparing TF-IDF Logistic Regression, SVM, and a dense neural network.
NLP dashboard that turns TikTok comments about Indonesia's Makan Bergizi Gratis (MBG) program into sentiment, public issues, and risk signals.
A machine learning system for classifying Indonesian text sentiment (positive/negative/neutral) using XGBoost (TF-IDF) and transformer-based NLP, trained on 30K MyPertamina app reviews.
Social media analytics course materials: text mining, topic modelling, data collection (Twitter/X API & Twint), stance detection, user profiling (gender & occupation), and network analysis with PageRank.
☕ An AI-powered tool to understand customer sentiment for Indonesian coffee shops. Built with Python, FastAPI, and TensorFlow, and deployed automatically with GitHub Actions.
Proyek Machine Learning untuk menganalisis sentimen (Klasifikasi) dan memprediksi skor (Regresi) ulasan aplikasi "Wondr by BNI" menggunakan metodologi CRISP-DM, diimplementasikan sebagai aplikasi web interaktif dengan Streamlit.
Indonesian synthetic informal-language dataset for NLP, slang detection, sentiment analysis, conversational AI, and LLM research. 20,000 structured records.
Legal entity extraction from Indonesian court verdicts using NLP and deep learning models (CRF, BiLSTM, IndoBERT)
id-svo-extractor: Extract SVO triples from Indonesian text.
Pipeline for IndoWebGen: a language model for automated website generation from Indonesian instructions.
Add a description, image, and links to the indonesian-nlp topic page so that developers can more easily learn about it.
To associate your repository with the indonesian-nlp topic, visit your repo's landing page and select "manage topics."