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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.

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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 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 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 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 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

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