Twitter Sentiment Analysis Using Binary Classification Technique

B. Supriya; Vish Kallimani; S. Prakash; C. Akki

Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers

Research Article

Twitter Sentiment Analysis Using Binary Classification Technique

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@INPROCEEDINGS{10.1007/978-3-319-46909-6_36,
    author={B. Supriya and Vish Kallimani and S. Prakash and C. Akki},
    title={Twitter Sentiment Analysis Using Binary Classification Technique},
    proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers},
    proceedings_a={ICTCC},
    year={2017},
    month={1},
    keywords={Sentiment analysis Recall Precision Heterogeneous Architecture Research Platform (HARP)},
    doi={10.1007/978-3-319-46909-6_36}
}

B. Supriya
Vish Kallimani
S. Prakash
C. Akki
Year: 2017
Twitter Sentiment Analysis Using Binary Classification Technique
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_36

B. Supriya¹, Vish Kallimani²^,*, S. Prakash³, C. Akki¹

1: SJBIT
2: UTP
3: Dayanand Sagar University

*Contact email: knowvp@gmail.com

Abstract

The popularity of World Wide Web has brought a latest way of expressing the sentiments of individuals. Millions of users express their sentiments on Twitter, making it a precious platform for analyzing the public sentiment. This paper proposes a 3-step algorithm for sentiment analysis. Cleaning, Entity identification, and Classification are the 3 steps. Finally we measure the performance of the classifier using recall, precision and accuracy.

Keywords: Sentiment analysis Recall Precision Heterogeneous Architecture Research Platform (HARP)

Published: 2017-01-04
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-46909-6_36

Twitter Sentiment Analysis Using Binary Classification Technique

Abstract

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