alfredtangsw/steamvox
For days when you're asked to read 10,000 reviews to understand how players feel about your video game.
SteamVox helps video game product managers or marketing analysts understand player sentiment without manually sifting through thousands of reviews. It takes player reviews from Steam for the game "Total War: Three Kingdoms," identifies key discussion topics, and determines the sentiment (positive or negative) for each topic. The output provides a clear snapshot of what players like and dislike about specific game features, helping you make informed decisions quickly.
No commits in the last 6 months.
Use this if you need to quickly understand player sentiment and identify popular topics from Steam reviews for "Total War: Three Kingdoms" without spending days reading them manually.
Not ideal if you need to analyze reviews for a game other than "Total War: Three Kingdoms" or if you require real-time sentiment analysis for rapidly changing discussions.
Stars
10
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 20, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/alfredtangsw/steamvox"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jteijema/asreview-plugin-model-cnn-17-layer
A convolutional neural network model plugin for ASReview
RishiDarkDevil/Amazon-PAE
A comprehensive study of the product listing and product attribute extraction on Amazon India...
vibuverma/steam-reviews-topic-modeling
Topic Identification for Steam Reviews.
gpsyrou/Text_Analysis_of_Consumer_Reviews
Natural Language Processing (NLP) and analysis on reviews about delivery companies in the UK...
aalrubaiya/game-reviews-sentiment-analysis
Identify if profanity was used in making game reviews on Steam platform