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Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ scraped tweets utilizing SBERT, streamlit, tweepy and FastAPI
This repository contains a number of experiments with Multi Lingual Transformer models (Multi-Lingual BERT, DistilBERT, XLM-RoBERTa, mT5 and ByT5) focussed on the Dutch language.
This work was done as part of Kaggle InClass competition hosted by Sharechat. We had to develop AI solutions for predicting abusive comments posted on the Moj app in 10+ languages given natural language data and user context data.