Open Access   Article Go Back

Sentiment Analysis: An insight into Techniques, Application and Challenges

Deepti G. Aggarwal1

  1. CSE Department, JSS Academy of Technical Education, Noida, Uttar Pradesh, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 697-703, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.697703

Online published on May 31, 2018

Copyright © Deepti 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: Deepti G. Aggarwal, “Sentiment Analysis: An insight into Techniques, Application and Challenges,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.697-703, 2018.

MLA Style Citation: Deepti G. Aggarwal "Sentiment Analysis: An insight into Techniques, Application and Challenges." International Journal of Computer Sciences and Engineering 6.5 (2018): 697-703.

APA Style Citation: Deepti G. Aggarwal, (2018). Sentiment Analysis: An insight into Techniques, Application and Challenges. International Journal of Computer Sciences and Engineering, 6(5), 697-703.

BibTex Style Citation:
@article{Aggarwal_2018,
author = {Deepti G. Aggarwal},
title = {Sentiment Analysis: An insight into Techniques, Application and Challenges},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {697-703},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2045},
doi = {https://doi.org/10.26438/ijcse/v6i5.697703}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.697703}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2045
TI - Sentiment Analysis: An insight into Techniques, Application and Challenges
T2 - International Journal of Computer Sciences and Engineering
AU - Deepti G. Aggarwal
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 697-703
IS - 5
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
580 225 downloads 201 downloads
  
  
           

Abstract

Sentiment analysis is a fast-growing field which has gained importance in many sectors. It plays a very major role in the field of Natural Language Processing. With the increase in awareness among people and easy access to internet, massive amount of data is available on internet that can be analysed and hence utilized in a constructive manner. This is a survey paper which gives an overview of sentiment analysis along with an insight into the techniques used for sentiment analysis and various applications and challenges in this area.

Key-Words / Index Term

Sentiment analysis, Machine learning, Lexicon, Classification, Opinion Mining

References

[1] Seema Kolkur†, Gayatri Dantal and Reena Mahe(2015) , ”Study of different levels for sentiment analysis”, International Journal of Current Engineering and Technology ,Vol.5, Issue 2, pp 768-770, April 2015
[2] Ankush Sharma1, Aakanksha(2014) “A comparative study of sentiments analysis using rule based and support vector machine” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 3, pp 5898-5900, March 2014
[3] Walaa Medhat a,, Ahmed Hassan b, Hoda Korashy(2014) “Sentiment analysis algorithms and applications:A survey”, Ain Shams Engineering Journal Volume 5, Issue 4, pp 1093-1113, December 2014
[4] S. M. Vohra, J. B. Teraiya(2013) ”A comparative study of sentiment analysis techniques”, Journal of information, knowledge and research in Computer engineering, Vol 02, Issue 02, pp 313-317, October 13
[5] Devika M D, Sunitha C, Amal Ganesha(2016), “Sentiment Analysis-A comparative study on different approaches”, Procedia Computer Science 87, pp44 – 49 In Association with Elsevier, Fourth International Conference on Recent Trends in Computer Science & Engineering, Chennai, Tamil Nadu, India, March 2016
[6] Harshali P. Patil1 and Mohammad Atique(2017) “Applications, issues and challenges in sentiment analysis and opinion mining– A User’s perspective”, International Journal of control theory and Application, Vol 10 ,Issue 19, pp 33-43, 2017
[7] Haseena Rahmath P(2014) ”Opinion mining and sentiment analysis -challenges and applications”, International Journal of Application or Innovation in Engineering & Management,Volume 3, Issue 5, pp 401-403, May 2014
[8] U. Aggarwal and G. Aggarwal, “Sentiment Analysis : A Survey”, International Journal of Computer Sciences and Engineering , Volume-5, Issue-5, pp 222-225, May 2017
[9] Uma Aggarwal, Gaurav Aggarwal , “Sentiment Analysis on Demonetization using SVM”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.183-187, 2017.