UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2108315


Registration ID:
205927

Page Number

c511-c520

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Title

Predicting the sentiment analysis for the customer reviews to analyze the text analytics.

Abstract

The social web has generated huge amounts of data for the users across the globe with just the click of a button. Even in the age of digitalization other’s opinions are considered while making a decision. This reliability is found in the form of opinions and experiences regarding a particular product or service. Sentiment analysis discusses these opinions. The information gathered through the World Wide Web via forums, blogs, social networks and content-sharing services is not structured which leads to the rise of fields like opinion mining, text analysis and sentiment analysis. This paper discusses the different methods of sentiment analysis and highlights its importance in understanding customer reviews to assess text analytics. Since reviews based on sentiment analysis have been included so this paper will focus on reviewing some previous review works of sentiment analysis for customer reviews.

Key Words

Sentiment Analysis, Feedback, Text analytics, Opinion Mining

Cite This Article

"Predicting the sentiment analysis for the customer reviews to analyze the text analytics.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c511-c520, August-2021, Available :http://www.jetir.org/papers/JETIR2108315.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

"Predicting the sentiment analysis for the customer reviews to analyze the text analytics.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc511-c520, August-2021, Available at : http://www.jetir.org/papers/JETIR2108315.pdf

Publication Details

Published Paper ID: JETIR2108315
Registration ID: 205927
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: c511-c520
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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