Popular GitHub Repositories for Tweepy

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

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.

Advanced Python-based Twitter (X.com) automation framework using Selenium and LLMs (OpenAI, Gemini) for multi-account scraping, posting, engagement, and content analysis. Modular and configurable.

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

A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.

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

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

The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.

Sentiment Analysis and Data Visualization

How Will Your Tweet Be Received? Predicting theSentiment Polarity of Tweet Replies

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

A project where we use the Tweepy python API to scrape tweets from Twitter, and then carry out LDA to model tweet topics and predict likely topics for any given tweet.

Analyzing and detecting depressive characteristics in tweets

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