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Mohammadi, Atefeh, Pajoohan, Mohammad-Reza, Montazeri, Morteza, Nematbakhsh, MohammadAli. (1397). Identifying Explicit Features of Persian Comments. , 6(1), 1-11. doi: 10.22108/jcs.2019.112489.1009
Atefeh Mohammadi; Mohammad-Reza Pajoohan; Morteza Montazeri; MohammadAli Nematbakhsh. "Identifying Explicit Features of Persian Comments". , 6, 1, 1397, 1-11. doi: 10.22108/jcs.2019.112489.1009
Mohammadi, Atefeh, Pajoohan, Mohammad-Reza, Montazeri, Morteza, Nematbakhsh, MohammadAli. (1397). 'Identifying Explicit Features of Persian Comments', , 6(1), pp. 1-11. doi: 10.22108/jcs.2019.112489.1009
Mohammadi, Atefeh, Pajoohan, Mohammad-Reza, Montazeri, Morteza, Nematbakhsh, MohammadAli. Identifying Explicit Features of Persian Comments. , 1397; 6(1): 1-11. doi: 10.22108/jcs.2019.112489.1009

Identifying Explicit Features of Persian Comments

Journal of Computing and Security
مقاله 2، دوره 6، شماره 1، فروردین 2019، صفحه 1-11    اصل مقاله (736.16 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22108/jcs.2019.112489.1009
نویسندگان
Atefeh Mohammadi1؛ Mohammad-Reza Pajoohan* 1؛ Morteza Montazeri2؛ MohammadAli Nematbakhsh2
1Department of Computer Engineering, Yazd University, Yazd, Iran.
2Department of Computer Engineering, University of Isfahan, Isfahan, Iran.
چکیده
Recently, the approach towards mining various opinions on weblogs, forums and websites has gained attentions and interests of numerous researchers. In this regard, feature-based opinion mining has been extensively studied in English documents in order to identify implicit and explicit product features and relevant opinions. However, in case of texts written in Persian language, this task faces serious challenges. The objective of this research is to present an unsupervised method for feature-based opinion mining in Persian; an approach which does not require a labeled training dataset. The proposed method in this paper involves extracting explicit product features. Previous studies dealing with extraction of explicit features often focus on lexical roles of words; the approach which cannot be used in distinguishing between an adjective as a part of a noun or a sentiment word. In this study, in addition to lexical roles, syntactic roles are also considered to extract more relevant explicit features. The results demonstrate that the proposed method has got higher recall and precision values compared to prior studies.
کلیدواژه‌ها
Explicit Feature؛ Implicit Feature؛ Association Rules؛ Co-occurrence
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