UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDW06310


Registration ID:
232590

Page Number

1910-1913

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Title

Sentiment Classification on Product Reviews

Abstract

The concept of product review concept, application problem, has recently become very popular in mining and language research. Here, we want to learn the consistency between Amazon product reviews and rating of products offered to consumers. Machine learning algorithms has been used including Naive Bayes analysis, Vector Support machines, the local K- method and deep neural networks such as Recurrent Neural Network (RNN). By comparing these results, we can gain a better understanding of these algorithms. They can also serve as add-ons to other forms of fraud detection.

Key Words

Sentiment, NLP

Cite This Article

"Sentiment Classification on Product Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1910-1913, January 2019, Available :http://www.jetir.org/papers/JETIRDW06310.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Sentiment Classification on Product Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1910-1913, January 2019, Available at : http://www.jetir.org/papers/JETIRDW06310.pdf

Publication Details

Published Paper ID: JETIRDW06310
Registration ID: 232590
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 1910-1913
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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