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.
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Updated
May 29, 2025 - Python
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.
Exploring Spotify's latest trends, top songs, genres, and artists using Python, Pandas, NumPy, Matplotlib, CNNs for image-based analysis, and advanced algorithms for music recommendation. Dive into the world of music data and discover what's trending on Spotify! 🎵📊
Fuzzy C Means clustering from the top 200 Spotify songs of each country in November 2021
An interactive Streamlit dashboard to analyze Billboard Top 100 songs (2012–2022) by genre, artist, lyrics, and sentiment using data visualization and NLP. Includes filtering, trend analysis, word clouds, sentiment insights, and CSV export.
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