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Information Systems Frontiers

Erschienen in:

01.12.2015

Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations

verfasst von: Heng-Li Yang, August F. Y. Chao

Erschienen in: Information Systems Frontiers | Ausgabe 6/2015

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Abstract

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.

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A Part-Of-Speech Tagger (P.O.S Tagger) is software that reads text and designates each word as a part of speech (and other token), such as noun, verb, adjective. The Part-of-speech tools from SINICA CKIP are available at http://ckipsvr.iis.sinica.edu.tw/

Collected Taiwan Yahoo!Movies Corpus with P.O.S Tags from CKIP, https://github.com/fychao/ChineseMovieReviews

Simplified/traditional Chinese conversion tables include parallel translation of common words/phrases in Taiwan, China, Hong Kong, and Singapore, and can be retrieved from following link: http://svn.wikimedia.org/svnroot/mediawiki/trunk/phase3/includes/ZhConversion.php

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Titel: Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations
verfasst von: Heng-Li Yang
August F. Y. Chao
Publikationsdatum: 01.12.2015
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 6/2015
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-014-9498-1

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