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Automatic Affect Recognition Using Natural Language Processing Techniques and Manually Built Affect Lexicon Young Hwan CHO Kong Joo LEE Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.12 pp.2964-2971 Publication Date: 2006/12/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.12.2964 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Natural Language Processing Keyword: affect, affect recognition, affect lexicon, natural language processing techniques, Full Text: PDF(544.3KB)>>
Summary: In this paper, we present preliminary work on recognizing affect from a Korean textual document by using a manually built affect lexicon and adopting natural language processing tools. A manually built affect lexicon is constructed in order to be able to detect various emotional expressions, and its entries consist of emotion vectors. The natural language processing tools analyze an input document to enhance the accuracy of our affect recognizer. The performance of our affect recognizer is evaluated through automatic classification of song lyrics according to moods. | ||||||||||
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