indicbert

Author's implementation of the paper https://www.aclweb.org/anthology/2021.dravidianlangtech-1.30/

Contextualized Topic Modeling using Zero-Shot Learning on Indic Languages (IndicCTM)

Author's implementation of the paper https://www.aclweb.org/anthology/2021.ltedi-1.30/

A full-stack ML system for Hindi news classification powered by fine-tuned IndicBERTv2. Features real-time multi-modal inputs: manual text entry, live scraping from major news portals, and OCR-based heading extraction. Deployed via Docker on Hugging Face Spaces.

In order to encourage constructive online debates, content control is crucial on social media sites. In this group project, participants are asked to create systems to handle offensive stretches of code-mixed social media material in Tamil.

Online gender-based violence limits marginalized voices. Detection in Indic languages is hard due to limited data and linguistic complexity. This work builds better classifiers for improved abuse detection in such settings.

Understanding the sentiment of customers from product reviews using IndicBERT

This project focuses on automatically identifying multiple Alankars in Hindi poetry using hyrbid models. It handles the complexity of Multi-Label Classification where a single verse may contain multiple figures of speech. It aims to support literary analysis and low-resource language processing through multilabel classification.

AI-powered Chrome extension that detects political bias using IndicBERT, Liquid Neural Networks, ChromaDB, and Groq.

A python package to run contextualized topic modeling for Indic Languages. indicCTMs combine contextualized embeddings (e.g., IndicBERT) with topic models to get coherent topics in Hindi, English, and Tamil.

Multilingual Robustness Analysis of Sentiment Models in Indian Ride-Hailing Reviews & Robustness Study of IndicBERT for Code-Mixed Indian User Text

AI-powered multilingual occupational coding system with semantic embeddings, cultural context, and adaptive learning.

AI-powered multilingual sentiment analysis for EV brand perception using NLP and transformer models.

Developed an SRL system using statistical and neural models to label semantic roles in Hindi sentences. Achieved up to 95.34% accuracy using IndicBERT and BiLSTM. Includes datasets, code, and model files.

This repository contains the implementation of a transfer learning-based approach for detecting AI-generated product reviews in Tamil and Malayalam. It includes pretrained model embeddings, deep neural networks, and an ensemble method to enhance classification accuracy.