Computing devices utilize user feedback (e.g., explicit and/or implicit feedback) to determine a user’s sentiment towards a song or music played by the computing device or another speaker within a given environment. The computing device may determine the user’s sentiment, emotion, reaction, or opinion towards a song and utilize that information when selecting music, tunes, or songs to include in a playlist or otherwise output to the user. In one example, to determine the user’s sentiment towards the song, the computing device executes a sentiment recognition algorithm that utilizes implicit feedback, such as a user singing along with the song, the user moving in time with the beat of the song, etc., which may be captured by one or more sensors of the computing device. In some instances, the computing device may also use explicit feedback provided by the user, such as selecting a “like” or a “dislike” button to determine the user’s sentiment towards the song. If the user enjoys the song, the computing device may recommend, suggest, or output the song or similar songs (e.g., similar artists, genres, etc.) for playback, for example, when selecting songs to be included in an autogenerated playlist.
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Johnson, Joseph Edwin Jr.; Hasan, Shiblee; and Hluchan, Chris, "SONG SENTIMENT RECOGNITION BASED ON IMPLICIT USER FEEDBACK", Technical Disclosure Commons, (October 10, 2019)