Categorisation of Tweets Using Ensemble Classification Methods

  • Authors

    • S Mohanavalli
    • S Karthika
    • Srividya .
    • K R.Uthayan
    • N Sandya
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.16463
  • Categorization, Twitter Analysis, Liblinear, Naïve bayes, SVM.

  • Abstract

    Twitter is a micro-blogging site that facilitates users to exchange short messages. Twitter is predominantly used in fields like business, healthcare, education and nation security. Twitter is being used by a large number of users for updating real time information and sentiment expression. The objective of this paper is to automate the classification of tweets into particular category using various machine learning algorithms like naïve bayes, SVM, and linear regression model. The proposed ensemble model aims to improve performance metrics of these algorithms. A comparative study of the algorithms used for tweet classification is done and results are discussed in the paper.

     

     

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  • How to Cite

    Mohanavalli, S., Karthika, S., ., S., R.Uthayan, K., & Sandya, N. (2018). Categorisation of Tweets Using Ensemble Classification Methods. International Journal of Engineering & Technology, 7(3.12), 722-725. https://doi.org/10.14419/ijet.v7i3.12.16463

    Received date: 2018-07-28

    Accepted date: 2018-07-28

    Published date: 2018-07-20