Material for my VLDB'22 and BTW'23 tutorials on application for language models in data management
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Updated
Dec 18, 2024 - HTML
Material for my VLDB'22 and BTW'23 tutorials on application for language models in data management
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
Fill-in-the-BERT uses pre-trained BERT Masked Language Model for Infering the task of fill in the blanks.
Disease detection from textual description. We created a dataset containing 24 disease and 50 manually written descriptions of the symptoms (in english) for each disease.
Topic Modelling using Transformers
Pro/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter
A dataset of 3+ million posts from 1025 far-right Telegram channels (2019-2024), including a ready-to-use BERTopic analysis for thematic exploration.
Kaggle Competition - Natural Language Processing with Disaster Tweets
A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data
The main idea of this project is of Transfer Learning. Bert large 24 encoder Questions Answering model was fine tuned on specific task of Questions Answering. Currently for Demo purposes it is Hosted on free Heroku platform. Please take a moment to catch up the twisting idea.
This is a application to analyse toxicity in social media using BERT and context analysis and aims to reduce toxicity
Software based on flask, used to check the most similar texts out of a list.
A full-stack AI-powered web app for professors to design syllabi.
A web-based AI-powered Sentiment Analyzer that uses VADER, ROBERTa and BERT models to detect positive, negative, or neutral sentiment in text. Built with Flask and NLP tools, it's perfect for analyzing reviews, tweets, or user feedback. Lightweight, clean UI, and deployable on Render.
Flask application for sentiment detection using LLMs
Predicting similarity of texts using transformers
The ML-Based Medical Chatbot is an AI-powered healthcare assistant designed to predict diseases and suggest appropriate medicines based on user symptoms. It uses Machine Learning (ML) and Natural Language Processing (NLP) techniques to interpret natural language queries and generate intelligent responses
Multi-label classification of hate speech targets using deep learning, including dataset preprocessing, benchmark tools, and PyTorch-based models.
In this repository, you'll find a range of projects, from data-driven models to advanced neural networks, demonstrating my skills and passion for AI development.
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