Popular GitHub Repositories for Indonesian Hatespeech

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

A list of Indonesian NLP resources.

data resource untuk NLP bahasa indonesia

Indonesian Language Models and its Usage

Repositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasikan pada artikel/paper ilmiah.

NLP Datasets for Indonesian

DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 2020.

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

Indonesian TTS (text-to-speech) using Coqui TTS

The first-ever vast natural language generation benchmark for Indonesian, Sundanese, and Javanese. We provide multiple downstream tasks, pre-trained IndoGPT and IndoBART models, and a starter code! (EMNLP 2021)

Multilingual Speech Recognition for Indonesian Languages

The first large-scale summarization corpus for the Indonesian language. AACL 2020.

This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.

Product Attributes Extraction in Indonesian e-Commerce Platform

Improving Indonesian text classification using multilingual language model

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.