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Twitter Trends history explorer app. Trending topics can be explored by date and location. Backend served with Lambda Function (NodeJS) from AWS. Frontend made with VueJS. Twitter API queried with a Python script from Google Colab. MongoDB database.
This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.
Customize Twitter searches and analyze trending tweets with this open-source Python bot. Built with Tweepy, perfect for data mining & social media analysis. Format results into an image & match Twitter's design with included CSS library. #TwitterTrends #Python #Tweepy #DataMining #SocialMediaAnalysis #TwitterAnalytics #ImageFormatting #CSSlibrary"
A Python-based scraper using Selenium to log in to Twitter (X.com) and fetch the top 5 trending topics. The data is stored in MongoDB with timestamps and IP addresses. A Flask API triggers the scraper and displays the trends on a simple frontend. Simple, effective Twitter trend tracking.