This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.

This paper describes Humor Analysis using Ensembles of Simple Transformers, the winning submission at the Humor Analysis based on Human Annotation (HAHA) task at IberLEF 2021.

Sentiment analysis using the distilbert-base-uncased model using the movies dataset.

The official repository for the PSYCHIC model

This repository contains my work on the prevention and anonymization of dox content on Twitter. It contains python code and demo of the proposed solution.

This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.

Multiclass classification on tweets about the coronavirus

Deep learning for Natural Language Processing

Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.

Using BERT models to perform sentiment analysis on women's clothing

Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering

This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include: Job and Resume Matching and LLM powered chatbot

This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition

Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.

Finetuning the Bert-based LLM to predict whether the tweet is toxic or not

A Deep Learning Based Voice Analytics toolkit

Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.

AIWorkspace is an advanced project management platform for efficient collaboration and research in computer science. It integrates task management, document creation, and video meetings into one workspace. A key feature is its AI-powered research assistant, using a custom RAG model with DistilBERT, optimized by FAISS and BM25.