Visualizing your Twitter timeline sentiment with Tinybird

A developer from Tinybird, inspired by Ed Hawkins's #ShowYourStripes graphic for global warming, created a project that visualizes the sentiment of their Twitter timeline by changing the background color and avatar expression based on sentiment analysis. By streaming tweets using Twitter's API and analyzing them with TextBlob, the developer transformed sentiment data into visual stripes on their Twitter banner, reflecting the mood over the past week. The project revealed fluctuations in sentiment, with a notable increase in negative sentiment due to recent global events, and highlighted increased polarization when switching from a chronological to a 'Top Tweets' timeline. The developer is also working on tracking emoji usage in tweets and has shared the project code on GitHub, alongside a starter kit for others to create dashboards using real-time Twitter data, leveraging Tinybird for scalable data processing.