indobert
There are 14 repositories under indobert topic.
IndoNLP/indonlu
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)
indolem/indolem
IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 2020.
fajri91/sum_liputan6
The first large-scale summarization corpus for the Indonesian language. AACL 2020.
rifkybujana/IndoBERT-QA
indoBERT Base-Uncased fine-tuned on Translated Squad v2.0
ShinyQ/Thesis_University-Feedback-Sentiment-Model_IndoBERT
A fine tuned IndoBERT model for University Sentiment On Social Media
ghazimuharam/hoax-detection
Web-based hoax detection using IndoBert Fine-tuned model
ShinyQ/Fine-tuned_Analisis_Sentimen-BERT_IndoBenchmark
Just an example of how to use indobenchmark transformer (IndoBERT, IndoGPT, IndoBertTweet) in hugging face.
ShinyQ/Thesis_University-Sentiment_REST-FastAPI
A simple implementation of IndoBERT model REST API for University Sentiment Analysis using FAST API
azizp128/prediksi-emosi-indobert
Model Deep Learning berbasis IndoBERT yang dapat memprediksi 6 jenis emosi dalam suatu kalimat, yaitu marah, sedih, senang, cinta, takut, dan jijik.
AdityaSetyadi/sepakat-integrasi
🥈🏆 SEPAKAT - Modul Integrasi is a winning project in Regsosek Hackathon 2022 organized by The Ministry of National Development Planning/Bappenas Indonesia. This module provides a single individual identification model by integrating Regsosek data as basic information which is then linked with related data using the idea of entity resolution.
azizp128/analisis-sentimen-bahasa-jawa-indobert
Model analisis sentimen berbasis IndoBERT yang dapat memprediksi sentimen dalam teks berbahasa Jawa Ngoko Lugu
LazarusNLP/NusaBERT
NusaBERT: Teaching IndoBERT to be multilingual and multicultural!
misbahEffendy/AnalisisDemografi-Twitter-BERT
Proyek ini berfokus pada analisis demografis pengguna Twitter selama Pemilihan Presiden Indonesia 2019 dengan menggunakan teknik BERT. Studi ini bertujuan untuk memahami perbedaan opini politik berdasarkan demografi dan mengeksplorasi pengaruh media sosial, khususnya Twitter, terhadap lanskap politik Indonesia.