Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Pretrained BERT model for analysing COVID-19 Twitter data

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

🔍 This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. #️⃣ 🐦

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.

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

Twitter Sentiment Analysis For Turkish Language

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Twitter Sentiment Analysis using #tag, words and username

This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.

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

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.

Python

Code for "TDParse: Multi-target-specific sentiment recognition on Twitter", EACL, 2017

This script uses Python and Redis with Twitter API to run a fully automated twitter account.

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

Create Interactive Dashboards With Streamlit in Python

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time