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box-office-data-analysis

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bruhu / film-sentiment-analysis

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This repository hosts "From Script to Score: Sentiment Analysis of Film Content", a project exploring how sentiment in movie reviews varies by genre, trigger warnings, ratings, and box office performance. Using data from TMDB, IMDB, Letterboxd, and doesthedogdie.com, and tools like VADER, it uncovers patterns in audience reception and sensitivity.

python nlp api text-mining movies sentiment-analysis data-visualization dataset data-analysis movie-reviews nlp-keywords-extraction film-ratings vader correlation-analysis box-office-data-analysis audience-sentiment
  • Updated Jan 10, 2025
  • Jupyter Notebook

JustaKris / Are-You-Not-Entertained

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Machine learning pipeline for predicting movie box office success. Includes web scraping, data pipelines, feature engineering, ML models, MLflow tracking, and a web interface for predictions.

visualization python fast machine-learning jupyter-notebook web-scraping feature-engineering predictive-modeling data-pipeline portfolio-project mlops mlflow box-office-data-analysis entertainment-analytics movie-data-analysis
  • Updated Dec 21, 2025
  • Jupyter Notebook

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