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

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.com/ossinsight

The most complete open-source tool for Twitter intelligence analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

AI Agent for Twitter Personality Analysis

Archive your Twitter/X bookmarks to markdown with AI-powered analysis. Supports Claude Code and OpenCode for multi-model flexibility. Like a dragon hoarding treasure, Smaug collects the valuable things you bookmark.

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

Code to reproduce the simple sentiment analysis from my presentation

Data analysis and OSINT framework for Twitter

TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.

Digital Methods Initiative - Twitter Capture and Analysis Toolset

Tafferugli is a Twitter Analysis Framework

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

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.

Deep Neural Network for Sentiment Analysis on Twitter

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Real-time sentiment analysis in Python using twitter's streaming api

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Twitter Intelligence OSINT project performs tracking and analysis of the Twitter

16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.

Scrape tweets from Twitter search results based on keywords and date range using Playwright. Save scraped tweets in a CSV file for easy analysis

DroidSniff is an Android app for Security analysis in wireless networks and capturing facebook, twitter, linkedin and other accounts.

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

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.

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

Let's perform Twitter sentiment analysis using Python, Docker, Elasticsearch, and Kibana!

rxcpp example of live twitter analysis

Sentiment Analysis on Twitter