International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


papers

Efficient Spam Reviews Detection System for Real-time Amazon Product Reviews using Machine Learning: A Review

Tanaya Prashant Korhalkar, Sarthak Santosh Bhandare, Swamini Prashant Khardekar, Prof. Suparna Shirish Naik

Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology (Poly), Pune, Maharashtra, India

Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology (Poly), Pune, Maharashtra, India

Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology (Poly), Pune, Maharashtra, India

Professor, Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology (Poly), Pune, Maharashtra, India

DOI: 10.15680/IJIRCCE.2022.1011014

PDF pdf/vDeLtYpcVn2QXtZIHfSLOnmri6pCZgH49htNsMM8.pdf
Copyright © IJIRCCE 2020.All right reserved