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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19371

Fake Product Review Monitoring System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19371

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

S

S.Saivarshitha

VS

V.Gnana Sujitha

G

G.Navya

P

P.Aakshay

MG

Mr.T.Raghavendra Gupta

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Abstract

In the current scenario, the data on the web is growing to a larger extent. Social Media is generating a large amount of data such as reviews, comments and customer’s opinions on a daily basis. This huge amount of user generated data is worthless unless some mining t e c h n i q u e s are applied to it. Nowadays, there are several people using social media reviews to order anything through online. Online spam detection is one of the herculean problems since there are many faux or fake reviews that are created by organizations or by the people themselves for various purposes. Such organizations tend to write fake reviews to mislead readers or automated detection systems by promoting or demoting the targeted product services. Fake reviews detection has recently become a limelight that’s capturing attention. Fake reviews are generated intentionally to mislead readers to believe false data that makes it tough and non-trivial to discover supported content. Hence, it is highly necessary to create a monitoring system which thoroughly checks for fake reviews among various product websites and removes them promptly.

KEYWORDS

Fake reviews spam detection opinion mining.

Cite This Article

S.Saivarshitha, V.Gnana Sujitha, G.Navya, P.Aakshay, Mr.T.Raghavendra Gupta, "Fake Product Review Monitoring System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19371

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Publication Date

4/23/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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