Mobile Game Review Classifier: Split Player Feedback into 12 Topics
Twelve core topics for game studios and marketers: see at a glance what players love, why they quit and how monetisation is perceived.
Examples
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.
- Gameplay
- Game mechanics and how fun the game is.
- Difficulty and balance
- Level difficulty, unfair opponents, balance.
- Pay-to-win
- Progress being hard or impossible without paying.
- In-app purchases
- Item prices and purchases not delivered.
- Ads
- Number, length and frequency of ads.
- Bugs and crashes
- Glitches, freezes, crashes and lost progress.
- Performance
- Stutter, heating, battery and data usage.
- Graphics and sound
- Visuals, animation, music and effects.
- Content and updates
- New levels, content and update cadence.
- Multiplayer
- Matchmaking, online lag and cheaters.
- Rewards and events
- Daily rewards, events and loot.
- Support
- Player support and issue resolution.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Monetisation balance
Track pay-to-win and ad complaints alongside revenue to grow income without losing players.
- 02
Live ops and events
Measure reward and content feedback after each season or event to design the next one.
- 03
Bugs and release quality
Catch spikes in crash, lag and lost-progress reviews per update.
- 04
Competitor game analysis
Classify competitor games' reviews with the same labels to find gaps in the market.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All tools- E-commerce Review ClassifierDelivery, packaging, size and return issues
- Mobile App Review ClassifierCrashes, login, payments, performance
- Software Feedback ClassifierEase of use, features, bugs, pricing
- Online Course Review ClassifierInstructor, content, level, certificate
- Restaurant and Hotel Review ClassifierFood, service, cleanliness, rooms
- Banking Feedback ClassifierMobile banking, cards, fees, loans
- Automotive Feedback ClassifierPerformance, comfort, fuel, service
- Mobile Network Feedback ClassifierCoverage, data speed, billing, tariffs
Want to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo