Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features
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Emotion ClassificationEmotion RecognitionGeneral ClassificationSentiment AnalysisSimilar Papers 제목 키워드 기반
User Guide for KOTE: Korean Online Comments Emotions Dataset
Sentiment analysis that classifies data into positive or negative has been dominantly used to recognize emotional aspects of texts, despite the deficit of thorough examination of emotional meanings. Recently, corpora lab…
Sentiment AnalysisSemi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification
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Detecting emotions from texts is considerably important in an NLP task, but it has the limitation of the scarcity of manually labeled data. To overcome this limitation, many researchers have annotated unlabeled data with…
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This study introduces KPoEM (Korean Poetry Emotion Mapping), a novel dataset that serves as a foundation for both emotion-centered analysis and generative applications in modern Korean poetry. Despite advancements in NLP…
Emotion ClassificationEVOKE: Emotion Vocabulary Of Korean and English
This paper introduces EVOKE (Emotion Vocabulary of Korean and English), a Korean-English parallel dataset of emotion words. The dataset offers comprehensive coverage of emotion words in each language, in addition to many…