Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets
نویسندگان
چکیده
Social media are an essential source of meaningful data that can be used in different tasks such as sentiment analysis and emotion recognition. Mostly, these solved with deep learning methods. Due to the fuzzy nature textual data, we consider using classification methods based on rough sets.Specifically, develop approach for SemEval-2018 detection task, nearest neighbour (FRNN) classifier enhanced ordered weighted average (OWA) operators. We use tuned ensembles FRNN–OWA models text embedding Our results competitive best SemEval solutions more complicated
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-87334-9_20