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FeelsGoodMan: Inferring Semantics of Twitch Neologisms
[article]
2021
arXiv
pre-print
Twitch chats pose a unique problem in natural language understanding due to a large presence of neologisms, specifically emotes. There are a total of 8.06 million emotes, over 400k of which were used in the week studied. There is virtually no information on the meaning or sentiment of emotes, and with a constant influx of new emotes and drift in their frequencies, it becomes impossible to maintain an updated manually-labeled dataset. Our paper makes a two fold contribution. First we establish a
arXiv:2108.08411v2
fatcat:b6dmi3nuhnbqvgecwoxe4xjjeq