A Comprehensive Survey on Sentiment Analysis and Opinion Mining
R.Bhuvaneswari 1 , S. Ravichandran2
Section:Survey Paper, Product Type: Journal Paper
Volume-06 ,
Issue-11 , Page no. 158-161, Dec-2018
Online published on Dec 31, 2018
Copyright © R.Bhuvaneswari, S. Ravichandran . 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 Citation
IEEE Style Citation: R.Bhuvaneswari, S. Ravichandran, “A Comprehensive Survey on Sentiment Analysis and Opinion Mining,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.158-161, 2018.
MLA Citation
MLA Style Citation: R.Bhuvaneswari, S. Ravichandran "A Comprehensive Survey on Sentiment Analysis and Opinion Mining." International Journal of Computer Sciences and Engineering 06.11 (2018): 158-161.
APA Citation
APA Style Citation: R.Bhuvaneswari, S. Ravichandran, (2018). A Comprehensive Survey on Sentiment Analysis and Opinion Mining. International Journal of Computer Sciences and Engineering, 06(11), 158-161.
BibTex Citation
BibTex Style Citation:
@article{Ravichandran_2018,
author = {R.Bhuvaneswari, S. Ravichandran},
title = {A Comprehensive Survey on Sentiment Analysis and Opinion Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {06},
Issue = {11},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {158-161},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=562},
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=562
TI - A Comprehensive Survey on Sentiment Analysis and Opinion Mining
T2 - International Journal of Computer Sciences and Engineering
AU - R.Bhuvaneswari, S. Ravichandran
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 158-161
IS - 11
VL - 06
SN - 2347-2693
ER -




Abstract
The colossal volume of data available on the internet media and the evolution of internet and social media, the internet user articulates their opinion, suggestion and views on the web. The comprehensive study of user opinion is quite imperative in the decision making processes. Unearthing the useful content from these opinion sources is a tedious and cumbersome task and this formed a new sector of research field named opinion mining and sentiment analysis. Opinion mining and sentiment analysis automatically extract and classify the user’s opinion clearly. This paper focuses on the review of Opinion mining about a particular topic written in a natural language and classifies them as positive, negative or neutral based on the humans emotions involved in it.
Key-Words / Index Term
Data source, classification techniques
References
[1] Walaa Medhat, Ahmed Hassan, Hoda Korashy, Sentiment Analysis: A Survey, Ain shams Engineering Journal, vol.5, pp. 1093-1113, (2014).
[2] Lorraine Chambers, Erik Tromp, Mykola Pechenizki,Mohamed Medhat Gaber “Mobile sentiment analysis”.
[3] Prof. Durgesh M. Sharma, Prof. Moiz M. Baig “Sentiment Analysis on Social Networking: A Literature Review”International Journal on Recent and Innovation Trends in Computing and Communication
[4] Ankita Gupta, et al. “Sentiment analysis of tweets using machine learning approach” International journal of computer science and mobile computing, 2017.
[5] Gayathri Deepthi, K. Sashi Rekha, Opinion Mining and Classification of User Reviews in Social Media, International Journal of Advance Research in Computer Science and Management Studies, vol.2, pp. 37-41, (2014).
[6] Kim Schouten, Onne van der Weijde, Flavius Frasincar, and Rommert Dekker “Supervised and unsupervised aspect category detection for sentiment analysis with co-occurancedata”IEEE transactions on cybernetics.
[7] Gautami Tripathi, Naganna.S, Feature Selection and Classification approach for Sentiment Analysis, An International Journal, vol.2, pp.1-16, (2015).
[8] K. Uma Maheswari, S.P. Raja Mohana, G. Aishwarya Lakshmi, Opinion Mining using Hybrid Methods, International Journal of Computer Applications, pp. 18-21, (2015).
[9] N. Sathyapriya, C. Akila, A Survey on Opinion Mining Techniques and Online Reviews, International Journal of Scientific Development and Research (IJSDR), vol.1, pp. 70-74, (2016).
[10] Richa Sharma, Shweta Nigam, Rekha Jain, Mining of Product Reviews at Aspect Level, International Journal in Foundations of Computer Science & Technology, vol.4, pp. 87-95, (2014)