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Sentiment Analysis of Reviews using Opinion Mining on Web

by Kimberley Faria, Karen Carvalho, Arshiya Thakur, Sarika Davare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 6
Year of Publication: 2017
Authors: Kimberley Faria, Karen Carvalho, Arshiya Thakur, Sarika Davare
10.5120/ijca2017915426

Kimberley Faria, Karen Carvalho, Arshiya Thakur, Sarika Davare . Sentiment Analysis of Reviews using Opinion Mining on Web. International Journal of Computer Applications. 175, 6 ( Oct 2017), 15-20. DOI=10.5120/ijca2017915426

@article{ 10.5120/ijca2017915426,
author = { Kimberley Faria, Karen Carvalho, Arshiya Thakur, Sarika Davare },
title = { Sentiment Analysis of Reviews using Opinion Mining on Web },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 175 },
number = { 6 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number6/28491-2017915426/ },
doi = { 10.5120/ijca2017915426 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:24:19.876338+05:30
%A Kimberley Faria
%A Karen Carvalho
%A Arshiya Thakur
%A Sarika Davare
%T Sentiment Analysis of Reviews using Opinion Mining on Web
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 6
%P 15-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis and opinion mining is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions from written language. It is the process of identifying opinions in large structured/ unstructured data and then analyzing polarity of these mined opinions. In this paper, the aim is to categorize polarity and identify the correct polarity for given sentiment. The intention is to use Recursive Neural Net-works(RNN) model. The goal is to gather product reviews and using this model to perform sentiment analysis on the collected data to make an informed and accurate suggestion to the user

References
  1. (2008) Sentiment analysis. http://www.egonomicslab.com/internet-of-things/sentimentanalysis/.
  2. N. K. S. Gaurav Dubey, Ajay Rana, “User reviews data analysis using opinion mining on web,” in 1st International Conference On Futuristic Trend In Computational Analysis And Knowledge Management, 2015.
  3. R. T. Deepali Virmani, Vikrant Malhotra, “Aspect based sentiment analysis to extract meticulous opinion value,” International Journal of Computer Science and Information Technologies, vol. 5(3), pp. 3262 – 3266, 2014.
  4. J. C. C. M. A. N. C. P. Alex Perelygin, Jean Wu, “Recursive deep models for semantic compositionality over a sentiment treebank,” august 2015.
  5. R. Socher, “Recursive deep learning for natural language processing and computer vision,” Ph.D. dissertation, Standford University, Stanford, CA 94305, USA, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Sentiment analysis opinion mining RNN

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