ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
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Paper Title
SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA
Authors
Ayesha Azeeza , Dr. H Venugopal
Keywords
Sentiment analysis, Twitter, Social mesia5
Abstract
The use of social networking sites is one of the approaches for putting views of users. Social media has gained a lot of light in past few years. Twitter is a widely used social media for posting comments through short statuses. Sentiment analysis is used to analyze the different opinions of users across the world. Sentiment analysis is done by collecting the data from variety of resources like internet and social media platforms. In this paper we present a system which collects tweets from social networking sites, we'll be able to do social analysis on those tweets and thus provide some prediction on business analysis. Results of sentimental analysis will be display as tweets from from different sections in terms of positive, negative and neutral from information resources.
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IJCRT — journal style
"SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 1, page no.434-442, March 2018, Available :https://ijcrt.org/papers/IJCRT1802965.pdf
APA — 7th edition
Azeeza, A., & Venugopal, H. (2018). SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA. International Journal of Creative Research Thoughts, 6(1), 434-442. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965
MLA — 9th edition
Azeeza, Ayesha, and H Venugopal. "SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA." International Journal of Creative Research Thoughts, vol. 6, no. 1, 2018, pp. 434-442, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965.
Chicago — 17th, bibliography
Azeeza, Ayesha, and H Venugopal. "SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA." International Journal of Creative Research Thoughts 6, no. 1 (2018): 434-442. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965.
Harvard — author–date
Azeeza, A. and Venugopal, H. (2018) 'SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA', International Journal of Creative Research Thoughts, 6(1), pp. 434-442. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965
IEEE — numbered reference
A. Azeeza and H. Venugopal, "SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA," IJCRT, vol. 6, no. 1, pp. 434-442, Mar. 2018.
Vancouver — biomedical
Azeeza A, Venugopal H. SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA. IJCRT. 2018 Mar;6(1):434-442.
AMA — 11th edition
Azeeza A, Venugopal H. SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA. IJCRT. 2018;6(1):434-442. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1802965,
author = {Ayesha Azeeza and H Venugopal},
title = {SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA},
journal = {International Journal of Creative Research Thoughts},
volume = {6},
number = {1},
pages = {434-442},
year = {2018},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Azeeza, Ayesha
AU - Venugopal, H
TI - SENTIMENTAL ANALYSIS OF TWITTER THROUGH BIG DATA
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 6
IS - 1
PY - 2018
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965
SP - 434
EP - 442
ER -
Issue
Volume 6 Issue 1,
March-2018
Pages : 434-442
Article Information
- Pages
- 434-442
- Published
- March 2018
- Registration ID
- IJCRT_183988
- Published Paper ID
- IJCRT1802965
- Research Area
- Science & Technology
- Author Type
- Indian Author
- Location
- Tumkur, Karnataka, 572101
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 1,280
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802965
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT1802965.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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