FEATURE EXTRACTION IN OPINION MINING THROUGH PERSIAN REVIEWS

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GOLPAR RABOOKI E.; ZARGHAMIFAR S.; REZAEENOUR J.

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Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING Year:2015 | Volume:3 | Issue:2 Page(s): 169-179

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Information Journal Paper

Title

FEATURE EXTRACTION IN OPINION MINING THROUGH PERSIAN REVIEWS

Author(s)

GOLPAR RABOOKI E. | ZARGHAMIFAR S. | REZAEENOUR J. | Issue Writer Certificate

Keywords

OPINION MININGQ2

FEATURE EXTRACTIONQ2

OPINION-MINING LEXICONQ2

CORPUSQ2

PARTS-OF-SPEECH TAGGINGQ2

SYNTACTIC DEPENDENCY PARSINGQ2

Abstract

OPINION MINING deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which plays an important role in making major decisions in such areas. In general, OPINION MINING extracts user reviews at three levels of document, sentence and feature. OPINION MINING at the feature level is taken into consideration more than the other two levels due to orientation analysis of different aspects of an area. In this paper, two methods are introduced for a FEATURE EXTRACTION. The recommended methods consist of four main stages. First, OPINION-MINING LEXICON for Persian is created. This lexicon is used to determine the orientation of users’ reviews. Second, the preprocessing stage includes unification of writing, tokenization, creating PARTS-OF-SPEECH TAGGING and SYNTACTIC DEPENDENCY PARSING for documents. Third, the extraction of features uses two methods including frequency-based FEATURE EXTRACTION and dependency grammar based FEATURE EXTRACTION. Fourth, the features and polarities of the word reviews extracted in the previous stage are modified and the final features' polarity is determined. To assess the suggested techniques, a set of user reviews in both scopes of university and cell phone areas were collected and the results of the two methods were compared.

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APA: Copy

GOLPAR RABOOKI, E., ZARGHAMIFAR, S., & REZAEENOUR, J.. (2015). FEATURE EXTRACTION IN OPINION MINING THROUGH PERSIAN REVIEWS. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, 3(2), 169-179. SID. https://sid.ir/paper/255376/en

Vancouver: Copy

GOLPAR RABOOKI E., ZARGHAMIFAR S., REZAEENOUR J.. FEATURE EXTRACTION IN OPINION MINING THROUGH PERSIAN REVIEWS. JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING[Internet]. 2015;3(2):169-179. Available from: https://sid.ir/paper/255376/en

IEEE: Copy

E. GOLPAR RABOOKI, S. ZARGHAMIFAR, and J. REZAEENOUR, “FEATURE EXTRACTION IN OPINION MINING THROUGH PERSIAN REVIEWS,” JOURNAL OF ARTIFICIAL INTELLIGENCE AND DATA MINING, vol. 3, no. 2, pp. 169–179, 2015, [Online]. Available: https://sid.ir/paper/255376/en

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