Steam Review Classification

This project aimed to classify and analyze game reviews from the Steam platform using natural language processing techniques.

Key Features:

• Utilized sentiment analysis to understand user sentiments in reviews.
• Implemented topic modeling to identify popular game aspects discussed in reviews.
• Developed visualizations for insightful analysis and data representation.

Technologies Used:

• Python
• Natural Language Toolkit (NLTK)
• Scikit-learn
• Matplotlib

Challenges and Solutions:

One challenge was handling diverse language styles and gaming jargon. Preprocessing and specific feature extraction techniques addressed these challenges.

Outcome:

The project successfully categorized game reviews and provided insights into user sentiments and popular game features.

Code Repository:

Find the code on GitHub

Demo:

Stay tuned for a live demo!