Fake Reviews Detection Using Support Vector Machine

November 2023
Vol-9, Issue-6
Paper ID: 21930
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electronics Engineering
Keywords
Sentiment Analysis Aspect Fuzzy Logic Ecommerce Customer Reviews Decision Making.
Abstract
social media is an effective informational channel for sharing details about the goods and services offered by online retailers. Customers who have purchased the goods themselves offer this information. Analysis of customer-cited features and specifications based on theirsentiment. These descriptions and reviews may be found on the Flipkart and Twitter websites. Reviews of features/specifications from the Twitter and Flipkart websites were considered for this study project. As a result, the work's analysis of customers' issues with purchasing high-quality goods was its focus. For the purpose of evaluating comments, this work automates the process of extracting semantic-based elements or features and their opinions.

Author Information

# Name Institute / Affiliation
1 Prof. Sharad. N. Shelke MVPSS Rajarshi Shahu Maharaj Polytechnic, Nashik. Nashik, Maharashtra
2 Prof. Jagruti. P. Patil MVPSS Rajarshi Shahu Maharaj Polytechnic, Nashik. Nashik, Maharashtra
3 Prof. Deepak U. Chaudhari MVPSS Rajarshi Shahu Maharaj Polytechnic, Nashik. Nashik, Maharashtra
4 Prof. G. B. Ghangale MVPSS Rajarshi Shahu Maharaj Polytechnic, Nashik. Nashik, Maharashtra
5 Prof. Ashwini. H. Kale MVPSS Rajarshi Shahu Maharaj Polytechnic, Nashik. Nashik, Maharashtra

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shelke, Prof. Sharad. N., Patil, Prof. Jagruti. P., Chaudhari, Prof. Deepak U., Ghangale, Prof. G. B., & Kale, Prof. Ashwini. H. (2023). Fake Reviews Detection Using Support Vector Machine. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 225-229.
MLA Style
Shelke, Prof. Sharad. N., et al. "Fake Reviews Detection Using Support Vector Machine." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 225-229.
IEEE Style
Prof. Sharad. N. Shelke, Prof. Jagruti. P. Patil, Prof. Deepak U. Chaudhari, Prof. G. B. Ghangale, and Prof. Ashwini. H. Kale, "Fake Reviews Detection Using Support Vector Machine," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 225-229, 2023.
Vancouver Style
Shelke Prof. Sharad. N., Patil Prof. Jagruti. P., Chaudhari Prof. Deepak U., Ghangale Prof. G. B., Kale Prof. Ashwini. H.. Fake Reviews Detection Using Support Vector Machine. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):225-229.
Harvard Style
Shelke, Prof. Sharad. N., Patil, Prof. Jagruti. P., Chaudhari, Prof. Deepak U., Ghangale, Prof. G. B., & Kale, Prof. Ashwini. H. (2023) 'Fake Reviews Detection Using Support Vector Machine', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 225-229.
Chicago Style
Shelke, Prof. Sharad. N., et al. "Fake Reviews Detection Using Support Vector Machine." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 225-229.
Turabian Style
Shelke, Prof. Sharad. N., et al. "Fake Reviews Detection Using Support Vector Machine." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 225-229.

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