TweeterPy is a python library to extract data from Twitter. TweeterPy API lets you scrape data from a user's profile like username, userid, bio, followers/followings list, profile media, tweets, etc.
Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user ...
π¦ Put your tweets/likes in an EPUB and delete them like a boss
A tool that continuously scrapes TweetDeck tweets
The Ultimate Web Content Extraction & Conversion Tool for AI/LLM Applications. Convert almost any web content into clean Markdown with intelligent AI processing.
A cli tool to get old tweets as csv
Downloaded tweets from the most popular news agencies and extract keywords from them. In the next steps, I plotted a word cloud and did a sentiment analysis for tweets that have the keywords.
Twitter Data Extractor
Raw dataset having over 16000 tweets (including both sarcastic and non-sarcastic) for researchers aspiring to work on Sarcasm Detection in Hindi.
Different tweet crawlers using tweepy
Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques
some handy scripts for scrapping data
Scrape tweets without authentication using Selenium WebDriver
2024 Twitter Automation Bot Scraper | Automate the extraction of tweet data from Twitter using Python and Selenium. This project logs into Twitter, navigates to a profile, scrolls through the page, and collects tweets, including text, dates, links, and images.
Leon's Twitter Timeline
Bitcoin price predictor and forecasting using sentiment analysis and LSTM
Hydra AI: Geospatial Water Management System utilizing AI and NLP for real-time monitoring and optimized resource allocation
#100Devs Twitter Timeline
π€ A Python/JavaScript tool for automated tweet extraction and analysis. TweetExtractor helps you collect, visualize and analyze X.com (Twitter) data through an intuitive interface. Features include automated data collection, word cloud generation, and Grok-powered tweet summarization.
This project focuses on analyzing tweets from Twitter using topic modeling techniques and interactive visualizations. It employs Latent Dirichlet Allocation (LDA) to discover topics within the tweet data and generates interactive word clouds based on topic-term strengths derived from the model. Users can explore topics and related tweets interactiv
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