TechRxiv
Spam Detection (IEEE) V18.1.pdf (892.3 kB)

Spam Review Detection:A Systematic Literature Review

Download (892.3 kB)
preprint
posted on 17.09.2020 by Muhammad Shoaib Farooq
In this era of technology, people rely on online posted reviews before buying any product. These reviews are very important for both the consumers and people. Consumers and people use this information for decision making while buying products or investing money in any product. This has inclined the spammers to generate spam or fake reviews so that they can recommend their products and beat the competitors. Spammers have developed many systems to generate the bulk of spam reviews within hours. Many techniques, strategies have been designed and recommended to resolve the issue of spam reviews. In this paper, a complete review of existing techniques and strategies for detecting spam review is discussed. Apart from reviewing the state-of-the-art research studies on spam review detection, a taxonomy on techniques of machine learning for spam review detection has been proposed. Moreover, its focus on research gaps and future recommendations for spam review identification.

Funding

No Funding Available

History

Email Address of Submitting Author

shoaib.farooq@umt.edu.pk

ORCID of Submitting Author

https://orcid.org/0000-0002-4095-8868

Submitting Author's Institution

University of Management and Technology Lahore, Pakistan

Submitting Author's Country

Pakistan

Licence

Exports

Licence

Exports