OPINION MINING IN PERSIAN LANGUAGE

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ALIMARDANI SAEEDEH; AGHAIE ABDOLLAH

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Journal Paper

Paper Information

Journal: JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT Year:2015 | Volume:7 | Issue:2 Page(s): 345-362

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Title

OPINION MINING IN PERSIAN LANGUAGE

Author(s)

ALIMARDANI SAEEDEH | AGHAIE ABDOLLAH | Issue Writer Certificate

Keywords

LEXICONQ2

OPINION MININGQ2

ORIENTATIONQ1

SUPPORT VECTOR MACHINEQ2

Abstract

Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. OPINION MINING is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for OPINION MINING in Persian language is introduced that is a combination of SVM and LEXICON as a set of features. The LEXICON is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its ORIENTATION got the best result. The proposed method performs better compared to other methods in Persian OPINION MINING.

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APA: Copy

ALIMARDANI, SAEEDEH, & AGHAIE, ABDOLLAH. (2015). OPINION MINING IN PERSIAN LANGUAGE. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 7(2), 345-362. SID. https://sid.ir/paper/409685/en

Vancouver: Copy

ALIMARDANI SAEEDEH, AGHAIE ABDOLLAH. OPINION MINING IN PERSIAN LANGUAGE. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2015;7(2):345-362. Available from: https://sid.ir/paper/409685/en

IEEE: Copy

SAEEDEH ALIMARDANI, and ABDOLLAH AGHAIE, “OPINION MINING IN PERSIAN LANGUAGE,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 7, no. 2, pp. 345–362, 2015, [Online]. Available: https://sid.ir/paper/409685/en

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