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|Session Name:||AI x Game Environment Guardian|
|Company Name(s):||Netease Game|
|Track / Format:||Programming|
|Overview:||This presentation consists of two parts, Game Environment Guardian and Game Public Opinion Analysis System. Game Environment Guardian includes text detection algorithm, voice detection algorithm and illegal expression mining algorithm. The user expression can be quite different between games. And the user expression change as the system evolves. The presentation introduces how they solve above problem with the algorithms and system, quantitative evaluation results, and application situation. nGame Public Opinion Analysis System includes web crawler module, data flow module, emotion analysis module, hotspot mining module. This presentation will introduce how we set up the whole system framework. nOverall, the presentation proposed a Game Environment Guardian System, which cover text chat, voice chat and player behavior. Especially the proposed voice chat detection method is 6~10 times quicker than traditional ASR method. The text detection algorithm has high precision (95%+), high speed (5000+qps) and cover 10+ illegal categories. Furthermore, the active learning architecture make the algorithm constant iterate with players' expression changing. The AI x Game Environment Guardian System has been used in 8 different games. nThis presentation also proposed a Game Public Opinion Analysis System, which covers major player community. The system has a variety of functions, such as hotspot mining, emotion analysis, automatic opinion aggregation, public opinion alarm push. And the system has been used by over 20 games.|