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Emotion on the edge: An evaluation of feature representations and machine learning models

This paper presents a comprehensive analysis of textual emotion classification, employing a tweet-based dataset to classify emotions such as surprise, love, fear, anger, sadness, and joy. We compare the performances of nine distinct machine learning classification models using Bag of Words (BoW) and...

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書誌詳細
主要な著者: James Thomas Black, Muhammad Zeeshan Shakir
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2025-03-01
シリーズ:Natural Language Processing Journal
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オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2949719125000032
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