vibuverma/steam-reviews-topic-modeling

Topic Identification for Steam Reviews.

29
/ 100
Experimental

This helps video game publishers and developers understand player feedback by analyzing large sets of Steam game reviews. It takes raw text reviews and organizes them into key discussion topics, revealing common themes and sentiments without you having to read every single one. Marketing and product managers would use this to identify what players like or dislike about games.

No commits in the last 6 months.

Use this if you need to quickly identify the main subjects and common feedback patterns within thousands of unstructured Steam game reviews.

Not ideal if you're looking for real-time sentiment analysis or an interactive dashboard for customer service, as this is focused on batch processing for topic discovery.

game-publishing player-feedback market-research product-management game-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

7

Forks

1

Language

Python

License

MIT

Last pushed

Oct 02, 2021

Commits (30d)

0

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