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steam-reviews

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This project uses Natural Language Processing (NLP) and Machine Learning techniques to analyze user reviews of top-selling games on the Steam platform. The goal is to detect bug-related reviews using keyword filtering, assess user sentiment (positive, neutral, negative), and group similar games using clustering methods.

  • Updated Sep 20, 2025
  • Jupyter Notebook

This project uses Natural Language Processing (NLP) and Machine Learning techniques to analyze user reviews of top-selling games on the Steam platform. The goal is to detect bug-related reviews using keyword filtering, assess user sentiment (positive, neutral, negative), and group similar games using clustering methods.

  • Updated Jun 5, 2025
  • Jupyter Notebook

This repository contains a sentiment analysis project on Baldur's Gate 3 Steam reviews using natural language processing (NLP) techniques. It leverages machine learning and deep learning models to classify reviews as positive or negative. The project includes preprocessing steps, feature extraction, and performance evaluation across various models.

  • Updated May 12, 2025
  • Jupyter Notebook

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