UGC Approved Journal no 63975(19)

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

Volume 9 Issue 1
January-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2201077


Registration ID:
318654

Page Number

a579-a585

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Title

Sentiment Analysis through Text Mining to rate the e-Commerce products based on the customer feedback

Abstract

In recent time, passive or indirect feedback system evolve and become most popular to get rid of exact mind set of the peers towards the product or service offered by the provider. Sentiment analysis is the most widely used phenomenon for the same which mines the data, view, review, rating or sentence to predict the emotion of the said statement through different techniques like text mining or Natural Language Processing. Through such text mining we can classify the feedback into defined classes like “Happy”, “Satisfied” or “Not Satisfied”. Various tokens are getting segregated from the given feedback and further analysed to conclude the overall feedback. The advent use of e-commerce platforms now become a huge source of row data which is generated by the user or customer and these data is being used by the analysts to improve their service/product to achieve high level of customer satisfaction. To analysis of such huge data automatically, the field of sentiment analysis has turn up. The main aim of sentiment analysis is to identifying polarity of the data in the Web and classifying them. Sentiment analysis is text based analysis, but there are certain challenges to find the accurate polarity of the sentence.

Key Words

Data mining , Sentiment analysis , opinion mining, machine learning, NLP, flair , pandas, Numpy

Cite This Article

"Sentiment Analysis through Text Mining to rate the e-Commerce products based on the customer feedback ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.a579-a585, January-2022, Available :http://www.jetir.org/papers/JETIR2201077.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 Analysis through Text Mining to rate the e-Commerce products based on the customer feedback ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppa579-a585, January-2022, Available at : http://www.jetir.org/papers/JETIR2201077.pdf

Publication Details

Published Paper ID: JETIR2201077
Registration ID: 318654
Published In: Volume 9 | Issue 1 | Year January-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.28879
Page No: a579-a585
Country: Valsad, Gujarat, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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