Automatic Affect Recognition Using Natural Language Processing Techniques and Manually Built Affect Lexicon(Natural Language Processing)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-12-01

著者

• Lee Kong

  Faculty Of Dept. Of Information & Communication Engineering Chungnam National Univ.

• CHO Young

  Moran Soft Inc.

関連論文

• Automatic Affect Recognition Using Natural Language Processing Techniques and Manually Built Affect Lexicon(Natural Language Processing)

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