Depression detection using RoBERTa on DAIC-WOZ and EDAIC-WOZ datasets. Transformer-based classification with RoBERTa, benchmarked against BERT. Explores advanced NLP techniques for mental health analysis.

A basic NLP project on musical instruments reviews on Amazon.

Transformers 3rd Edition

InboxGeniusAI is an AI-driven email management tool that automatically categorizes emails, prioritizes important ones, and provides summaries and follow-up reminders. It includes sentiment analysis, voice search, and a personalized dashboard, adapting to user behavior for a streamlined inbox experience.

Open-Domain Chitchat System with Multi-Module Architecture for Enhanced Conversational AI

This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model

NLP (Natural Language Processing)

Sentiment Analysis is a natural language processing (NLP) technique used to determine the sentiment expressed in a piece of text. The goal is to analyze and categorize the emotions conveyed by the text, typically into categories such as positive, negative, or neutral. This process can help businesses understand customer opinions

A simple spanish fake news detector

A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.

Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers

A practical tool leveraging DistilBERT for sentiment analysis, offering both Streamlit and Gradio interfaces. Includes automated setup for easy deployment.

Decoding Sentiments in Amazon Feedback

This project uses the stsb-roberta-large sentence transformer model (deprecated) to check whether a set of given phrases match a certain phrase in meaning.

predict movie's genres based on overview

Sentiment Sense is a Python project that combines VADER sentiment analysis with fine-tuned RoBERTa models to predict sentiment scores for textual data. It provides a streamlined way to analyze sentiment across various texts using state-of-the-art natural language processing techniques.

GPT and BERT on Sentiment analysis

Analysis of a sample of comments taken from r/Politics on June 28, 2024.

# Project--Sentiment_Analysis Developed Python script to extract comments data from Amazon and Official site. Performed NLP based Tokenization, Lemmatization, vectorization and processed data in Machine understandable language Have used VADERS, ROBERTA and BERT models to find the sentiment of the reviews and used the ratings on the source to chec