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

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

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

🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

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. #️⃣ 🐦

Sentiment analysis dashboard for Twitter hashtags

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).

情感分析，微博情感分析，微博水军检测，水军检测，营销粉检测，僵尸粉检测，微博爬虫

Computes sentiment analysis of tweets of US States in real-time using Storm.

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

Twitter Sentiment Analysis For Turkish Language

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Predicting Consumer Purchase intention using Twitter Data

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

Twitter Sentiment Analysis using #tag, words and username

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques