caa a22 4500 606228683 CHVBK 20210128101205.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10796-014-9498-1 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9498-1 Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations [Elektronische Daten] [Heng-Li Yang, August Chao] The application of sentiment analysis, also known as opinion mining, is more difficult in Chinese than in Indo-European languages, due to the compounding nature of Chinese words and phrases, and relatively lack of reliable resources in Chinese. This study used seed words, Chinese morphemes, which are mono-syllabic characters that function as individual words or be combined to create Chinese words and phrases, to classify movie reviews found on Yahoo! Taiwan. We utilized higher Pointwise Mutual Information (PMI) collocations, which consist of selected morpheme-level compounded features to build classifiers. The contributions of this study include the following: (Bird 2006) proposing a method of generating domain-dependent Chinese morphemes directly from large data set without any predefined sentimental resources; (Bradley and Lang 1999) building morpheme-based classifiers applicable in various movie genres, and shown to produce better results than other classifiers based on keywords (NTUSD and HowNet) or feature selection (TFIDF); (Church and Hanks in Computational linguistics, 16(1), 22-29 1990) identifying compounds that have different semantic polarities depending on contexts. Springer Science+Business Media New York, 2014 Sentiment analysis nationallicence Opinion mining nationallicence Morpheme nationallicence Feature nationallicence Collocation nationallicence Chinese movie nationallicence Yang Heng-Li Department Management Information Systems, National Cheng Chi University, 64, Sec.2, Chihnan Road, Wenshan District, Taipei, Taiwan, Republic of China aut Chao August Department Management Information Systems, National Cheng Chi University, 64, Sec.2, Chihnan Road, Wenshan District, Taipei, Taiwan, Republic of China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1335-1352 1387-3326 17:6<1335 2015 17 10796 https://doi.org/10.1007/s10796-014-9498-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-014-9498-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Heng-Li Department Management Information Systems, National Cheng Chi University, 64, Sec.2, Chihnan Road, Wenshan District, Taipei, Taiwan, Republic of China aut NATIONALLICENCE 700 1- Chao August Department Management Information Systems, National Cheng Chi University, 64, Sec.2, Chihnan Road, Wenshan District, Taipei, Taiwan, Republic of China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1335-1352 1387-3326 17:6<1335 2015 17 10796