databricks-industry-solutions/toxicity-detection-in-gaming
Build a lakehouse for all your gamer data and use natural language processing techniques to flag questionable comments for moderation.
This helps gaming companies automatically identify and flag toxic language in player chat and messaging systems. It takes in real-time or historical text chat data from games like Dota 2 and outputs classified messages, highlighting different types of toxicity. This is for game moderation teams, community managers, and data analysts at gaming companies who need to maintain a positive player experience.
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Use this if you need an automated way to detect various forms of toxicity in game chat to improve player engagement and streamline moderation efforts.
Not ideal if you are looking for a system to directly ban players or manage complex moderation workflows beyond toxicity detection.
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Language
Python
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Last pushed
Mar 04, 2024
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