Case Study
Pythian Develops Prototype for Toxic Sentiment Detection for Online Game Developer
Pythian Client Case Study PYTHIAN DEVELOPS PROTOTYPE FOR TOXIC SENTIMENT DETECTION FOR ONLINE GAME DEVELOPER Toxic conversations between players is a widespread issue in the online gaming world. One of the largest developers of multiplayer online games turned to Google and Pythian for assistance with a potential solution for detecting toxicity in gameplay conversations by analyzing the audio stream. BUSINESS NEED The company has existing toxicity detection models that work well with instant messaging chats. However, they wanted to expand those chat detection models into online speech conversations. A prototype was in order. SOLUTION Y ou T ube is a large source of gameplay that includes a lot of toxic content. Pythian developed a prototype solution which transcribes YouTube vide