Popular GitHub Repositories for Tweepy

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Scrape data from social media and chat with it using Langchain

:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:

Sentiment analysis dashboard for Twitter hashtags

Fully automatic asynchronous AI operated Twitter bot using Large Language Models through OpenAI and Hugging Face to schedule and generate contextual content.

Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark

Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.

Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React

A python project that automates the analysis of tweets emotions

Argument Mining from online debates and hybrid-semantics reasoning

Old version of a twitter bot relying on an LSTM neural network.

Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO

This is about sentiment text analysis in Python. I used libraries that allow us to work with natural language processing

This application generates and posts tweets using Cloudflare Workers AI (specifically the Llama-3.1 model) and the Twitter (X) API to craft engaging tweets according to pre-set prompts.

Simple markov chain for tweet generator

Twitter bot that gnenerate text into AI image