Using Supervised Learning to Identify Opinion Spam in Persian Language

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Jamshidi Nejad sepideh; ahmadi Abkenari Fatemeh; BAYAT PEYMAN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

Using Supervised Learning to Identify Opinion Spam in Persian Language

Author(s)

Jamshidi Nejad sepideh | ahmadi Abkenari Fatemeh | BAYAT PEYMAN

Keywords

Identify Opinion Spam

Supervised Learning

Modeling Opinion Spam

Opinion Persian

Abstract

Due to the increasing use of users' opinions in various domains on social networks and the importance of these opinions, their accuracy is very important, but unknown persons may use fake comments to promote or discredit products, services, Organizations or peoples. Since it is difficult and even impossible to identify only on through read, find data will be difficult to design and evaluate the algorithms for the identification of opinion spam too. Due to the challenge explained, the present paper, by innovating in the combination of opinion content, metadata and entity information, generates a set of data features and for the first time at the document and sentence level, recognizes opinion spam in Persian. In the following, the identification of opinion spam as a classification problem is introduced with two fake and non-fake categories and is modeled with six Supervised Learning methods. To evaluate the results, the Confusion matrix of each method is constructed and after calculating the precision, recall and accuracy and comparing the values, the best and most accurate classification will be introduced in identifying opinion spam.

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APA: Copy

Jamshidi Nejad, sepideh, ahmadi Abkenari, Fatemeh, & BAYAT, PEYMAN. (2020). Using Supervised Learning to Identify Opinion Spam in Persian Language. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949275/en

Vancouver: Copy

Jamshidi Nejad sepideh, ahmadi Abkenari Fatemeh, BAYAT PEYMAN. Using Supervised Learning to Identify Opinion Spam in Persian Language. 2020. Available from: https://sid.ir/paper/949275/en

IEEE: Copy

sepideh Jamshidi Nejad, Fatemeh ahmadi Abkenari, and PEYMAN BAYAT, “Using Supervised Learning to Identify Opinion Spam in Persian Language,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949275/en

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