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.

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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].

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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.

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