A MULTILINGUAL SPAM REVIEWS DETECTION BASED ON WORD EMBEDDING AND WEIGHTED SWARM SUPPORT VECTOR MACHINES

Authors

  • Mrs. E. KRISHNAVENI REDDY, CH. ANJALI, C. CHARITHA, D. RISHIKA

Keywords:

spam reviews detection, multilinguality, support vector machine, spam detection.

Abstract

Customers look for online reviews as a valuable source of information before making a purchase. In addition, businesses get valuable insight about their goods and services from these evaluations. Particularly during the COVID-19
epidemic, when people were cooped up at home and reading evaluations online at an unprecedented rate, the credibility of such sources became paramount. Aside from an increase in reviews, the epidemic also changed the environment and tastes.

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References

M. Awad, M. Foqaha, Email spam classification using hybrid approach of RBF neural network and particle swarm optimization, Int. J. Netw. Secur. Appl. 8(4) (2016).

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Published

2023-11-24

How to Cite

Mrs. E. KRISHNAVENI REDDY, CH. ANJALI, C. CHARITHA, D. RISHIKA. (2023). A MULTILINGUAL SPAM REVIEWS DETECTION BASED ON WORD EMBEDDING AND WEIGHTED SWARM SUPPORT VECTOR MACHINES . Pegem Journal of Education and Instruction, 13(3), 468–477. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4043

Issue

Vol. 13 No. 3 (2023): PEGEGOG

Section

Article

License

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