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A Survey on Sentimental Analysis Techniques

K.Lino FathimaChinnaRani1 , M. Kasthuri2 , N.Solomon PraveenKumar3

Section:Survey Paper, Product Type: Journal Paper
Volume-06 , Issue-11 , Page no. 256-263, Dec-2018

Online published on Dec 31, 2018

Copyright © K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar . 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: K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar, “A Survey on Sentimental Analysis Techniques,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.256-263, 2018.

MLA Style Citation: K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar "A Survey on Sentimental Analysis Techniques." International Journal of Computer Sciences and Engineering 06.11 (2018): 256-263.

APA Style Citation: K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar, (2018). A Survey on Sentimental Analysis Techniques. International Journal of Computer Sciences and Engineering, 06(11), 256-263.

BibTex Style Citation:
@article{FathimaChinnaRani_2018,
author = {K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar},
title = {A Survey on Sentimental Analysis Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {06},
Issue = {11},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {256-263},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=582},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=582
TI - A Survey on Sentimental Analysis Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - K.Lino FathimaChinnaRani, M. Kasthuri, N.Solomon PraveenKumar
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 256-263
IS - 11
VL - 06
SN - 2347-2693
ER -

           

Abstract

Sentiment analysis is one of the fastest growing research areas in computer science, which is helpful to analyze people’s opinions, sentiments, evaluations, attitudes and emotions from written language. It is widely studied in data mining, web mining, and text mining. This survey paper presents a comprehensive study on various recently used sentiment analysis techniques. The main target of this survey paper is to give full image of sentimental analysis techniques and the related field with brief details. The cluster of datasets given as a input and the accuracy level is checked by using discourse relations. The limitations and features are also discussed.

Key-Words / Index Term

Sentiment analysis, Discourse relations, Baseline algorithms, Text mining

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