Paper Title

Systematic Study of Sentiment Analysis for Customer Reviews

Authors

Gopika Vijayan , Liz George

Keywords

Index Terms: Sentiment Analysis, Machine Learning, Opinion Mining, Natural Language Processing, Consumer Reviews.

Abstract

Abstract: Sentiment analysis, often known as opinion mining, is a technique for natural language processing (NLP) that determines the emotional undertone of a body of text. This is a typical strategy used by businesses to gauge consumer opinion on a certain good, service, or concept. As more people used online consumer reviews to assist them in making decisions, they became more popular. Hence, we may classify customer reviews as either positive or negative using sentiment analysis. This particular paper surveys different research papers that uses Sentiment Analysis.

How To Cite

"Systematic Study of Sentiment Analysis for Customer Reviews", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1405 - 1408, March-2023, Available :https://ijsdr.org/papers/IJSDR2303239.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : 1405 - 1408

Other Publication Details

Paper Reg. ID: IJSDR_204967

Published Paper Id: IJSDR2303239

Downloads: 000347173

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303239

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303239

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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