Steam Review Analysis System

A comprehensive web application for analyzing Steam game reviews, built with Flask and modern data analysis tools. Much of the work is AI-generated, mostly by Claude Sonnet 3.5.

Features

• Advanced Search Functionality

  • Full-text search with TF-IDF and Jaccard similarity
  • Multiple filter options (date range, playtime, sentiment, etc.)
  • Persistent filter states
  • Game-specific filtering

• Data Analysis

  • Sentiment analysis of reviews
  • Text clustering using K-means
  • Word cloud generation
  • Various statistical visualizations

• Visualizations

  • Interactive charts using Plotly
  • Word clouds
  • Top authors, genres, publishers, and developers charts

Installation

1. Clone the repository:

git clone <repository-url>
cd steam-review-analysis

2. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Download required NLTK data and spaCy model:

python -m spacy download en_core_web_sm

5. Initialize the database:

python init_db.py  # If provided

Usage

1. Start the Flask server:

python app.py

2. Open a web browser and navigate to:

http://localhost:5000

Database Schema

The application uses SQLite with the following main tables:

• reviews: Stores review data including content, ratings, and metadata
• authors: Contains information about review authors
• games: Stores game-related information

Contributing

Feel free to submit issues and enhancement requests!

License

This project is licensed under the MIT License - see the LICENSE file for details.