Open Access   Article Go Back

Sentiment Analysis : A Survey

U. Aggarwal1 , G. Aggarwal2

  1. Department of Computer Science, Jagannath University, Haryana, India.
  2. Department of Computer Science, Jagannath University, Haryana, India.

Correspondence should be addressed to: uma.aggarwal1992@gmail.com.

Section:Survey Paper, Product Type: Journal Paper
Volume-5 , Issue-5 , Page no. 222-225, May-2017

Online published on May 30, 2017

Copyright © U. Aggarwal, G. Aggarwal . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: U. Aggarwal, G. Aggarwal, “Sentiment Analysis : A Survey,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.5, pp.222-225, 2017.

MLA Style Citation: U. Aggarwal, G. Aggarwal "Sentiment Analysis : A Survey." International Journal of Computer Sciences and Engineering 5.5 (2017): 222-225.

APA Style Citation: U. Aggarwal, G. Aggarwal, (2017). Sentiment Analysis : A Survey. International Journal of Computer Sciences and Engineering, 5(5), 222-225.

BibTex Style Citation:
@article{Aggarwal_2017,
author = {U. Aggarwal, G. Aggarwal},
title = {Sentiment Analysis : A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2017},
volume = {5},
Issue = {5},
month = {5},
year = {2017},
issn = {2347-2693},
pages = {222-225},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1294},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1294
TI - Sentiment Analysis : A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - U. Aggarwal, G. Aggarwal
PY - 2017
DA - 2017/05/30
PB - IJCSE, Indore, INDIA
SP - 222-225
IS - 5
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
842 432 downloads 541 downloads
  
  
           

Abstract

Sentiment analysis is a technique to analyze peoples opinion on given topics such as political, social, and economical or review on product. An enormous amount of information and opinion is available online which is helpful for researchers to analyze in fields such as market research political issue, business intelligence, online shopping etc. This paper presents a survey which covers Sentiment Analysis, literature survey, classification, application and challenges.

Key-Words / Index Term

Sentiment Analysis , Classification

References

[1] J. A. Barnes, “Class and Committees in a Norwegian Island Parish, Human Relations”, Human Relations, Vol.7, Issue.1, pp. 39-58, 1954.
Google Scholar

[2] G. Vinodhini , RM. Chandrashekharan, “Sentiment Analysis and Opinion Mining : A Survey” , International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2, Issue. 6, pp.281-292, 2012.
Google Scholar

[3] Dhanashri Chafale, Amit Pimpalkar, "Review on Developing Corpora for Sentiment Analysis Using Plutchik’s Wheel of Emotions with Fuzzy Logic", International Journal of Computer Sciences and Engineering, Vol.2, Issue.10, pp.14-18, 2014.
Google Scholar

[4] E. Marrese-Taylor, J. D. Velasquez, F. Bravo-Marquez, “Opinion Zoom: A Modular Tool to Explore Tourism Opinions on the Web”, In the Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), CA, pp. 261–264, 2013.
Google Scholar

[5] Z. Preety , Sunny Dahiya , “Sentement Analysis using svm and naive bayes algorithm”, International Journal of Computer Science and Mobile Computing, Vol.4, Issue.9, pp.212-219,2015.
Google Scholar

[6] R. Moraes, J. F. Valiati, W. P. Gaviao-Neto, “Document-level sentiment classification: An empirical comparison between SVM and ANN”, Expert System with Application, Vol.40, Issue.2, pp.621-633, 2013.
Google Scholar

[7] Mullen T., Malouf R., “Taking sides: User classification for informal online political discourse”, Internet Research, Vol.18, Issues. 2, pp.177–190, 2008.
Google Scholar

[8] AR. PonPeriasamy, G. Vijayasree, “Data Mining Techniques for Customer Relationship Management”, International Journal Of Computer Sciences and Engineering, Vol.5, Issue.4, pp.120-126 , 2017.
Google Scholar

[9] R. Keshav, AS. Swaminathan, R. Goutham, J. Naren, “Content based Recommender System on Customer Reviews using Sentiment Classification Algorithms”, International Journal of Computer Science and Information Technologies, Vol. 5,Issue.3 ,pp.4782-4787, 2014.
Google Scholar