Abstractive Thai opinion summarization

dc.contributor.advisorOhm Sornilth
dc.contributor.authorOrawan Chaowalitth
dc.date.accessioned2016-05-16T06:06:58Z
dc.date.available2016-05-16T06:06:58Z
dc.date.issued2013th
dc.date.issuedBE2556th
dc.descriptionDissertation (Ph.D. (Computer Science)) National Institute of Development Administration, 2013.th
dc.description.abstractWith the advancement of the Internet technology, customers can easily share opinions about services and products in forms of reviews. There can be large amount of reviews for popular products. Manually summarizing those reviews for important issues is a daunting task. Automatic opinion summarization is a solution to the problem. The task is more complicated for reviews written in Thai. Thai words are written continuously without space, and there is no symbol to identify the end of a sentence. Many reviews are written informally, thus accurate word identification and linguistic annotation cannot be relied upon. Text summarization can be classified into two categories, which are extractive and abstractive summarization. In the extractive method, the summary is a set of actual sentences or phrases extracted from the reviews; on the other hand, abstractive summarization does not output original sentences from the reviews, but generates new sentences or phrases into a summary. The abstractive summarization approach is more difficult and thus less popular than the extractive approach. This research proposes a novel technique to generate abstractive summaries of customer reviews written in Thai. The proposed technique, which consists of local and global models, is evaluated by using actual reviews of fifty products, randomly selected from a popular cosmetic website. The results show that the local model outperforms the global model and the two baseline methods, both quantitatively and qualitatively.th
dc.format.extent55 leavesth
dc.format.mimetypeapplication/pdfth
dc.identifier.doi10.14457/NIDA.the.2013.22
dc.identifier.otherb184490th
dc.identifier.urihttp://repository.nida.ac.th/handle/662723737/3028th
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.th
dc.subjectAbstractiveth
dc.subject.otherOpinion Summarizationth
dc.titleAbstractive Thai opinion summarizationth
dc.typetext--thesis--doctoral thesisth
mods.genreDissertationth
mods.physicalLocationNational Institute of Development Administration. Library and Information Centerth
thesis.degree.departmentSchool of Applied Statisticsth
thesis.degree.disciplineComputer Scienceth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.levelDoctoralth
thesis.degree.nameDoctor of Philosophyth
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