首页 /研究 /Sentence Emotion Classification for Intelligent Robotics Based on Word Lexicon and Emoticon Emotions
OTHER

Sentence Emotion Classification for Intelligent Robotics Based on Word Lexicon and Emoticon Emotions

Yunong Wu, Xin Kang, Kazuyuki Matsumoto, Minoru Yoshida, Xielifuguli Keranmu, Kenji Kita

发表年份
2018
引用次数
5

摘要

In recent years, the information of social network increases explosively, since more and more people like sharing their experience and giving the comments on some events to convey their attitudes by textual information which are rich in emotions. In this study, we examine the effectiveness of emoticon emotion distribution by sentence emotion classification based on word emotion lexicon and emoticon emotion distribution. We construct two word lexicons by using the word emotion intensities and frequency respectively, and calculate the emoticon emotion distribution by the co-occurrence of emoticon and sentence labels. Four experiments have been done, and result proves the emotion contribution of emoticon in emotion classification.

关键词

LexiconSentenceWord (group theory)Computer scienceArtificial intelligenceEmotion classificationNatural language processingConstruct (python library)Emotion detectionEmotion recognition

相关论文

查看 OTHER 分类全部论文