Automated generation of game tags

A non-transitory computer-readable medium comprising instructions that, responsive to execution by a processing device, causes the processing device to perform operations to validate one or more text tags for a game comprising:

• providing, as input to a plurality of machine learning models, data that includes a game identifier of the game and a set of digital assets of different classes associated with the game;
• generating, based on the set of digital assets and by respective models of the plurality of machine learning models, a respective feature vector of a plurality of feature vectors;
• generating, based on the plurality of feature vectors, a plurality of predicted text tags for the game, each predicted text tag associated with a respective prediction score;
• selecting one or more text tags from the plurality of predicted text tags based on the respective prediction score;
• obtaining a developer provided text tag for the game;
• validating the developer provided text tag for the game by comparing the developer provided text tag with the one or more selected text tags;
• determining that the developer provided text tag is irrelevant based on the comparison;
• and
• removing the developer provided text tag from association with the game.

A system comprising:

• a memory with instructions stored thereon;
• and
• a processing device, coupled to the memory, the processing device configured to access the memory and execute the instructions, wherein the instructions cause the processing device to perform operations to validate one or more text tags for a game comprising:
• providing, as input to a plurality of machine learning models, data that includes a game identifier of the game and a set of digital assets of different classes associated with the game;
• generating, based on the set of digital assets and by respective models of the plurality of machine learning models, a respective feature vector of a plurality of feature vectors;
• generating, based on the plurality of feature vectors, a plurality of predicted text tags for the game, each predicted text tag associated with a respective prediction score;
• selecting one or more text tags from the plurality of predicted text tags based on the respective prediction score;
• obtaining a developer provided text tag for the game;
• validating the developer provided text tag for the game by comparing the developer provided text tag with the one or more selected text tags;
• determining that the developer provided text tag is irrelevant based on the comparison;
• and
• removing the developer provided text tag from association with the game.