Fake Reviews Detection using Support Vector Machine-Reference-Cited by-同舟云学术

Fake Reviews Detection using Support Vector Machine

Published:2022-04-07 Issue: Volume: Page:
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Container-title:2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Poonguzhali R.¹,Sowmiya S. Franklin¹,Surendar P.¹,Vasikaran M.¹

Affiliation:

1. Periyar Maniammai Institute of Science & Technology,Department of Computer Science and Engineering,Thanjavur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9760735/9760712/09760747.pdf?arnumber=9760747

Reference30 articles.

1. Eliminating products' fake reviews using network parameters and geolocation;raja;IOP Conference Series: Materials Science and Engineering,2020

2. Linguistic features for detecting fake reviews;namin;IEEE International Conference on Machine Learning and Applications (ICMLA),2020

3. Machine & deep learning techniques for detection of fake reviews: A survey;naik;International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE),2020

4. Tool For Review Analysis Of Product;godbole;International Conference on Emerging Trends in Information WTechnology and Engineering (ic-ETITE),2020

5. Ensemble learning for detecting fake reviews;namin;44th Annual Computers Software and Applications Conference (COMPSAC),2020

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