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E-commerce Product Analysis Using Sentimental Analysis

P. Rathee1

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-12 , Page no. 110-114, Dec-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i12.110114

Online published on Dec 31, 2019

Copyright © P. Rathee . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Rathee, “E-commerce Product Analysis Using Sentimental Analysis,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.12, pp.110-114, 2019.

MLA Style Citation: P. Rathee "E-commerce Product Analysis Using Sentimental Analysis." International Journal of Computer Sciences and Engineering 7.12 (2019): 110-114.

APA Style Citation: P. Rathee, (2019). E-commerce Product Analysis Using Sentimental Analysis. International Journal of Computer Sciences and Engineering, 7(12), 110-114.

BibTex Style Citation:
@article{Rathee_2019,
author = {P. Rathee},
title = {E-commerce Product Analysis Using Sentimental Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2019},
volume = {7},
Issue = {12},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {110-114},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4982},
doi = {https://doi.org/10.26438/ijcse/v7i12.110114}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i12.110114}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4982
TI - E-commerce Product Analysis Using Sentimental Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - P. Rathee
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 110-114
IS - 12
VL - 7
SN - 2347-2693
ER -

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Abstract

Electronic commerce is a way of trading in different types of products, gadgets and services. It offers a wide variety of people’s comments and opinions. Sentimental analysis also known as opinion mining is a method of understanding people’s attitudes, sentiments, feelings expressed in those written comments. This is an e-commerce web application tackles with sentence level sentimental analysis which fetches and classify the polarity of reviews as positive, negative and neutral. All those reviews are ranked based on this polarity that helps the user to make a smart choice among good, bad and worst products. This aims to reduce the time and effort of the user in searching for specific product on e-commerce website.

Key-Words / Index Term

Login, API, Rating System

References

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[2] D. Jayvant, P. Sunita “,” Product Review By Sentiment Analysis”, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 5 may, Page No. 6202-6205 2014
[3] X. Fang , J. Zhan, “Sentiment analysis using product review data”, Journal of Big Data (2015) 2:5 DOI 10.1186/s40537-015-0015-2
[4] A. Kumar,T.M.Sebastian, “Sentiment Analysis on Twitter”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012 ISSN (Online): 1694-0814,2012