A Survey on Review Spam Detection Methods using Deep Learning Approach
Review spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided to detect them. In recent years, much research has been done to detect these...
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| Format: | Article |
| Language: | English |
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University of science and culture
2022-01-01
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| Series: | International Journal of Web Research |
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| Online Access: | https://ijwr.usc.ac.ir/article_154304_db1c86973d2e1db339e52c24461e458f.pdf |
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| _version_ | 1841559953321492480 |
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| author | Mahmoud Aliarab Kazim Fouladi-Ghaleh |
| author_facet | Mahmoud Aliarab Kazim Fouladi-Ghaleh |
| author_sort | Mahmoud Aliarab |
| collection | DOAJ |
| description | Review spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided to detect them. In recent years, much research has been done to detect these types of reviews, and with the expansion of deep neural networks and the efficiency of these networks in various issues, in recent years, multiple types of deep neural networks have been used to identify spam reviews. This paper reviews the proposed deep learning methods for the problem of review spam detection. Challenges, evaluation criteria, and datasets in this area are also examined. |
| format | Article |
| id | doaj-art-a8e6911d52fe4cf890a8d42c8f977ee1 |
| institution | Kabale University |
| issn | 2645-4343 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | University of science and culture |
| record_format | Article |
| series | International Journal of Web Research |
| spelling | doaj-art-a8e6911d52fe4cf890a8d42c8f977ee12025-01-05T11:42:37ZengUniversity of science and cultureInternational Journal of Web Research2645-43432022-01-0151192410.22133/ijwr.2022.346586.1123A Survey on Review Spam Detection Methods using Deep Learning ApproachMahmoud Aliarab0Kazim Fouladi-Ghaleh 1Master of Information Technology Engineering, Deep Learning Research Lab, Faculty of Engineering, College of Farabi, University of Tehran, Iran Assistant Professor, Department of Computer Engineering, Faculty of Engineering, College of Farabi, University of Tehran, IranReview spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided to detect them. In recent years, much research has been done to detect these types of reviews, and with the expansion of deep neural networks and the efficiency of these networks in various issues, in recent years, multiple types of deep neural networks have been used to identify spam reviews. This paper reviews the proposed deep learning methods for the problem of review spam detection. Challenges, evaluation criteria, and datasets in this area are also examined.https://ijwr.usc.ac.ir/article_154304_db1c86973d2e1db339e52c24461e458f.pdfreview spam detectionopinion spamdeep learningconvolutional neural networklong short-term memory (lstm)literature survey |
| spellingShingle | Mahmoud Aliarab Kazim Fouladi-Ghaleh A Survey on Review Spam Detection Methods using Deep Learning Approach International Journal of Web Research review spam detection opinion spam deep learning convolutional neural network long short-term memory (lstm) literature survey |
| title | A Survey on Review Spam Detection Methods using Deep Learning Approach |
| title_full | A Survey on Review Spam Detection Methods using Deep Learning Approach |
| title_fullStr | A Survey on Review Spam Detection Methods using Deep Learning Approach |
| title_full_unstemmed | A Survey on Review Spam Detection Methods using Deep Learning Approach |
| title_short | A Survey on Review Spam Detection Methods using Deep Learning Approach |
| title_sort | survey on review spam detection methods using deep learning approach |
| topic | review spam detection opinion spam deep learning convolutional neural network long short-term memory (lstm) literature survey |
| url | https://ijwr.usc.ac.ir/article_154304_db1c86973d2e1db339e52c24461e458f.pdf |
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