This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.

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.

NLP Twitter Sentiment Analysis Using Individual Models, Ensemble Models, Deep Learning Models

Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.

Sentiment analysis on tweets using Logistic Regression, Decision Trees, KNN, Random Forest, XG Boost, SVM, and NLP (RoBERTa)

Stock price recommender

Performing comparative sentiment analysis to determine public reaction on newly introduced Farm Laws of 2020, India by collecting data using Twitter Tweepy API

Analyzing Tweets about climate change by Canadian female politicians to measure the severity of harassment and types of accounts behind the replies

Scrapping tweets about China's Belt and Road Initiative (BRI) from 2014-2023 to see public opinion on a staple policy of the Xi administration to increase the soft power and global creability of China. Also looking at how Chinese State Media influence the conversation surrounding the BRI on English twitter feeds.

Predict the sentiments of the Twitter tweets in a go using NLP techniques and Logistic Regresion Model.

This project includes Twitter Social Media Analytics, Facebook Graph Analysis and News API Data Analysis. See the final report for full understanding.

PoliceSight is an open-source public monitoring system aimed to enhance the safety of the Indian pubic using NLP powered compliant detection system for twitter and Computer Vision assisted road accident detection and alerting.

Real-Time Twitter Data Analytics

How to Spot a (Russian) Troll - Classifying Troll Tweets vs Authentic Tweets

TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis

The dataset (scraped from twitter) accessible in Kaggle was used to conduct a sentiment analysis on twitter posts related to two Indian politicians - Modi and Rahul

Classification Report Sentiment Analysis and Trend Analysis

Task 4 of the Prodigy infotech Data science internship