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Paper Title
Analyzing social media remark using sentimental analysis
Authors
T.Devishree , K.S.Jeen Marseline
Keywords
Sentimental analysis, scores
Abstract
Sentiment analysis is the process of determining whether a piece of writing is positive, negative, neutral. It is also known as opinion mining, deriving the opinion or attitude of speaker. Sentiment Analysis is contextual mining of texts which identifies and extracts subjective information in source material and helping a business to understand the social sentiment of their brand, product or service while monitoring online concentration. Sentiment Analysis is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative or neutral. This paper deals with two forms which is polarity-based, where pieces of texts are classified as either positive or negative, and valence-based, where the intensity of the sentiment is considered.
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IJRTI — journal style
"Analyzing social media remark using sentimental analysis", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.3, Issue 6, page no.167 - 170, June-2018, Available :https://ijrti.org/papers/IJRTI1806032.pdf
APA — 7th edition
T.Devishree, & Marseline, K. S. J. (2018). Analyzing social media remark using sentimental analysis. International Journal for Research Trends and Innovation, 3(6), 167 - 170. https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032
MLA — 9th edition
T.Devishree, and K.S.Jeen Marseline. "Analyzing social media remark using sentimental analysis." International Journal for Research Trends and Innovation, vol. 3, no. 6, 2018, pp. 167 - 170, https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032.
Chicago — 17th, bibliography
T.Devishree, and K.S.Jeen Marseline. "Analyzing social media remark using sentimental analysis." International Journal for Research Trends and Innovation 3, no. 6 (2018): 167 - 170. https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032.
Harvard — author–date
T.Devishree and Marseline, K.S.J. (2018) 'Analyzing social media remark using sentimental analysis', International Journal for Research Trends and Innovation, 3(6), pp. 167 - 170. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032
IEEE — numbered reference
T.Devishree and K. S. J. Marseline, "Analyzing social media remark using sentimental analysis," IJRTI, vol. 3, no. 6, pp. 167 - 170, Jun. 2018.
Vancouver — biomedical
T.Devishree, Marseline KSJ. Analyzing social media remark using sentimental analysis. IJRTI. 2018 Jun;3(6):167 - 170.
AMA — 11th edition
T.Devishree, Marseline KSJ. Analyzing social media remark using sentimental analysis. IJRTI. 2018;3(6):167 - 170. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1806032,
author = {T.Devishree and K.S.Jeen Marseline},
title = {Analyzing social media remark using sentimental analysis},
journal = {International Journal for Research Trends and Innovation},
volume = {3},
number = {6},
pages = {167 - 170},
year = {2018},
month = {June},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - T.Devishree
AU - Marseline, K.S.Jeen
TI - Analyzing social media remark using sentimental analysis
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 3
IS - 6
PY - 2018
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032
SP - 167
EP - 170
ER -
Issue
Volume 3 Issue 6,
June-2018
Pages : 167 - 170
Other Publication Details
Paper Reg. ID
IJRTI_180277
Published Paper ID
IJRTI1806032
Downloads
205,651
Research Area
Engineering
Country
Coimbatore, TamilNadu, India
Published
June 2018
Published Paper PDF
https://ijrti.org/papers/IJRTI1806032.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1806032
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
