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.