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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.
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.