Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey
S. Thulasi Bharathi1 , S. Charles2
Section:Survey Paper, Product Type: Journal Paper
Volume-06 ,
Issue-11 , Page no. 210-215, Dec-2018
Online published on Dec 31, 2018
Copyright © S. Thulasi Bharathi, S. Charles . 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 Citation
IEEE Style Citation: S. Thulasi Bharathi, S. Charles, “Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.210-215, 2018.
MLA Citation
MLA Style Citation: S. Thulasi Bharathi, S. Charles "Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey." International Journal of Computer Sciences and Engineering 06.11 (2018): 210-215.
APA Citation
APA Style Citation: S. Thulasi Bharathi, S. Charles, (2018). Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey. International Journal of Computer Sciences and Engineering, 06(11), 210-215.
BibTex Citation
BibTex Style Citation:
@article{Bharathi_2018,
author = {S. Thulasi Bharathi, S. Charles},
title = {Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {06},
Issue = {11},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {210-215},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=573},
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=573
TI - Classification Levels, Approaches, Tools, Application and Challenges in Sentimental Analysis- A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - S. Thulasi Bharathi, S. Charles
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 210-215
IS - 11
VL - 06
SN - 2347-2693
ER -




Abstract
Sentiment analysis is an application of natural language processing. It is also known as emotion extraction or opinion mining. Sentiment analysis or opinion mining is the computational study of opinions, sentiments and emotions. Opinions are usually particular expressions that designate people’s sentiments, judgments’ or approach toward entities, events and their properties. In general, opinions can be expressed on anything, e.g., a product, a service, an individual, an organization, an event, or a topic. In this paper, the SA classification levels, approaches are discussed. It also reports about various categories of tools used to process the sentimental analysis data. And various application and challenges in sentimental analysis are explained.
Key-Words / Index Term
Senitmental Analysis, NLP, Opinion Mining
References
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