Analysis of customer reviews using opinion mining

K.S. Jeen Marseline

Sentiment analysis, polarity scores

Sentiment analysis or opinion mining is the process to determine the attitude of the person who writes. It can be classified as positive, negative and neutral and the contextual mining of texts which identify and extract primary data also it aid companies to understand their product and services among customers. Sentimental analysis is broadly used in marketing, customer services, social media, and health science. Data used in this study are online product reviews collected from the data world. Online reviews have improved a new form of marketing that develops the void between customers and business. This paper is about product review of customers that classified according to the polarity scores.

Published Paper   E-Certificate

"Analysis of customer reviews using opinion mining", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.378 - 380, June-2018, Available :https://ijsdr.org/papers/IJSDR1806062.pdf

Volume 3 Issue 6, June-2018

Pages : 378 - 380

Paper Reg. ID: IJSDR_180447

Published Paper Id: IJSDR1806062

Downloads: 000347218

Research Area: Engineering

Country: -, -, --

Published Paper PDF: https://ijsdr.org/papers/IJSDR1806062

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1806062

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition