Fall-2023 Natural language Processing

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

Repository Made for Summer Internship at LMNIIT Jaipur '24

This repository includes the pytorch implementation of Cerebral LSTM.

USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami

Fine-Tuning Distil BERT and LSTM for Comparative Analysis

Machine Learning and Deep Learning Model using Natural Language Processing to help in detection of the fake news. Used Deep Learning models such as Artificial Neural Network and ML models like SVM and random forest using Python, NLTK Library, Numpy and Sklearn. Can help overcome privacy and cybersecurity challenges

Emotion detection microservice based on natural language inference

Transformers 库快速入门教程

This repository contains files from a client project aimed at performing sentiment analysis on an Instagram comments dataset and developing a Streamlit app for model deployment.

Semester project for the Machine Learning class of the MSc in Artificial Intelligence

A flexible sentiment analysis classifier package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames.

As part of the UCSanDiego online course "Machine Learning Fundamentals"

Han-river sentiment analysis

This repository contains our work for Task 1 of the ITSOLERA internship, a sentiment analysis project. Using Python and Streamlit, We developed a web application that analyzes text input and predicts the sentiment as positive or negative. The repository includes the complete code for the project.

An app based on the Syuzhet package and the NRC Word-Emotion Association Lexicon (aka EmoLex) to explore and analyze emotion in news columns related to a word of interest. It has support for several languages and countries.

This repo contain my fist internship project at ITSOLERA. It is a sentiment analysis project. I have fine tuned tiny-bert on IMDB dataset.

Sentiment analysis and emotion classification for Italian using BERT (fine-tuning). Published at the WASSA workshop (EACL2021).

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.