FEATURE EXTRACTION AND LEXICON EXPANDED IN OPINION MINING THROUGH PERSIAN REVIEWS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

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

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2016 | Volume:14 | Issue:3 Page(s): 259-266

Download Full-Text

Persian Verion

View:

1,211

Download:

Cites:

Information Journal Paper

Title

FEATURE EXTRACTION AND LEXICON EXPANDED 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, one method is introduced for a FEATURE EXTRACTION. The recommended method 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 the method including 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 method were compared with frequency-based FEATURE EXTRACTION method.

Cites

No record.

References

Cite

APA: Copy

GOLPAR RABOOKI, E., ZARGHAMIFAR, S., & REZAEENOUR, J.. (2016). FEATURE EXTRACTION AND LEXICON EXPANDED IN OPINION MINING THROUGH PERSIAN REVIEWS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 14(3), 259-266. SID. https://sid.ir/paper/228488/en

Vancouver: Copy

GOLPAR RABOOKI E., ZARGHAMIFAR S., REZAEENOUR J.. FEATURE EXTRACTION AND LEXICON EXPANDED IN OPINION MINING THROUGH PERSIAN REVIEWS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2016;14(3):259-266. Available from: https://sid.ir/paper/228488/en

IEEE: Copy

E. GOLPAR RABOOKI, S. ZARGHAMIFAR, and J. REZAEENOUR, “FEATURE EXTRACTION AND LEXICON EXPANDED IN OPINION MINING THROUGH PERSIAN REVIEWS,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 14, no. 3, pp. 259–266, 2016, [Online]. Available: https://sid.ir/paper/228488/en

Related Journal Papers