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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Spam Detection Using Rating and Review Processing Method

verfasst von : Ridhima Ghai, Sakshum Kumar, Avinash Chandra Pandey

Erschienen in: Smart Innovations in Communication and Computational Sciences

Verlag: Springer Singapore

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Abstract

In recent times, e-commerce sites have become an essential part of people lifestyle. Viewers give feedback and firsthand account of the online products, and these reviews thus play an important role in decision making of the other buyers. So, in order to increase or decrease sales of products, spam reviews are generated by the companies. Hence, there is a need to detect and filter the spam reviews to provide customers genuine reviews of the product. In this paper, a review processing method is proposed. Some parameters have been suggested to find the usefulness of reviews. These parameters show the variation of a particular review from other, thus increasing the probability of it being spam. This method introduced classifies the review as helpful or non-helpful depending on the score assigned to the review.

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Metadaten
Titel
Spam Detection Using Rating and Review Processing Method
verfasst von
Ridhima Ghai
Sakshum Kumar
Avinash Chandra Pandey
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Smart Innovations in Communication and Computational Sciences

Print ISBN: 978-981-10-8970-1

Electronic ISBN: 978-981-10-8971-8

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-10-8971-8_18

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