WorldScreen Dynamics is a dynamic and data-driven project that captures and analyzes trending movies and series worldwide. Leveraging Python, APIs, and web scraping, it gathers real-time data from Twitter, Reddit, and IMDB. The project includes sentiment analysis, topic modeling, and dynamic data visualization through a Flask dashboard.
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Data Acquisition:
- Utilized Python Requests library for Twitter and Reddit data.
- Implemented web scraping for real-time IMDB movie and series data.
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Large-Scale Data Collection:
- Gathered 1M+ tweets, 2M+ Reddit posts, and Top 100 IMDB movies/series weekly.
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Sentiment Analysis and Topic Modeling:
- Employed TextBlob for analyzing sentiments.
- Investigated discussions and abstract subjects through topic modeling.
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Flask Dashboard:
- Created an interactive web application for dynamic data visualization.
- Integrated Matplotlib for generating plots based on user-selected date ranges.
- Install dependencies:
pip install flask textblob pymongo - Run the Flask app:
python your_app_file.py - Access the dashboard in your browser:
http://localhost:8006
- Discovered positive correlation between Twitter/Reddit data and IMDB ratings.
- Established positive sentiment in public tweets and Reddit posts related to movies and series.
- Implement user authentication for personalized dashboards.
- Explore additional data sources for more comprehensive insights.
Feel free to contribute or provide feedback!