A Hierarchical Emotion Classification Technique for Thai Reviews

Journal of ICT Research and Applications

Jirawan Charoensuk¹ 

[1] Graduate School of Applied Statistics, National Institute of DevelopmentAdministration, 118 Seri-Thai Road, Bangkapi, Bangkok, 10240,

关键词: hierarchical emotion classification;    speech synthesis;    opinion classification;    text processing;    Thai language;   

DOI  :  10.5614/itbj.ict.res.appl.2018.12.3.6

学科分类：电子、光学、磁材料

来源: Institute for Research and Community Services ITB

【 摘 要 】

Emotion classification is an interesting problem in affective computing that can be applied in various tasks, such as speech synthesis, image processing and text processing. With the increasing amount of textual data on the Internet, especially reviews of customers that express opinions and emotions about products. These reviews are important feedback for companies. Emotion classification aims to identify an emotion label for each review. This research investigated three approaches for emotion classification of opinions in the Thai language, written in unstructured format, free form or informal style. Different sets of features were studied in detail and analyzed. The experimental results showed that a hierarchical approach, where the subjectivity of the review is determined first, then the polarity of opinion is identified and finally the emotional label is calculated, yielded the highest performance, with precision, recall and F-measure at 0.691, 0.743 and 0.709, respectively.

【 授权许可】

CC BY