analyzing viral content on goodreads

Created in October 23, 2024

2024   ·   python   jupyter   nlp   machine-learning   ·   data-science

This project applies advanced data science techniques to analyze what makes quotes go viral on Goodreads, combining traditional econometric methods with cutting-edge natural language processing. Using a dataset of popular quotes from the platform, I investigated how content characteristics, emotional sentiment, and author influence affect engagement.

The analysis employs multiple methodological approaches:

  • Natural Language Processing (BERT) for sentiment analysis
  • Network analysis to map author relationships and influence
  • Machine learning for popularity prediction
  • Statistical analysis of quote characteristics

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