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Sports channel video portals offer an exciting domain for research onmultimodal, multilingual analysis. We present methods addressing the problem ofautomatic video highlight prediction based on joint visual features and textualanalysis of the real-world audience discourse with complex slang, in bothEnglish and traditional Chinese. We present a novel dataset based on League ofLegends championships recorded from North American and Taiwanese Twitch.tvchannels (will be released for further research), and demonstrate strongresults on these using multimodal, character-level CNN-RNN model architectures.

Video Highlight Prediction Using Audience Chat Reactions