GitHub / SunilKuruba / Data-Science-Project-Social-Aware-Movie-Revenue-Prediction-Using-Metadata-and-Sentiment-Signals

A machine learning pipeline that predicts movie box office revenue by combining traditional metadata (e.g., budget, genre, cast) with sentiment and emotion scores extracted from Reddit and YouTube using transformer-based NLP models. Achieves up to 15% accuracy improvement using LightGBM, CatBoost, and XGBoost.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SunilKuruba%2FData-Science-Project-Social-Aware-Movie-Revenue-Prediction-Using-Metadata-and-Sentiment-Signals

Topics: data-analysis, data-processing, data-science, data-visualization, exploratory-data-analysis

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