Hello Mojang Team,
I’m a student and Minecraft fan who recently built a website to analyze community feedback for the Minecraft 1.21 “Tricky Trials” update. The website, https://senticraft.fun, uses Natural Language Processing techniques such as Non-Negative Matrix Factorization (NMF) for topic modeling and Support Vector Machine (SVM) for sentiment classification.
The site automatically analyzes over 5,800 user reviews from Google Play Store and organizes them into clear topics (e.g., bugs, server problems, gameplay experience), along with sentiment categories (positive, neutral, negative). The goal is to provide a structured summary of player feedback that may help developers better understand user satisfaction and areas for improvement.
Although it doesn’t submit feedback automatically, the results are available interactively and can support manual evaluation. I hope this tool can contribute to improving future updates and communication between the community and Mojang.
Thank you for your great work and continued updates!
Best regards,
Tengku Syafiq Ali Syahputra
Developer of https://senticraft.fun
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