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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      02 June 2023, Volume 38 Issue 3
    Article

    A STUDY ON SENTIMENT ANALYSIS USING FLEISS KAPPA STATISTIC FOR ESTIMATING A MEASURE OF AGREEMENT IN ENGINEERING DISCIPLINES
    A. Vijay Bharath1, A. Shanthini2 A.Subbarayan3
    Journal of Data Acquisition and Processing, 2023, 38 (3): 2972-2979 . 

    Abstract

    The classification of subjects and the methods of Measurement is determined by the application field. Typically, the rater’s are classified according to their skills and expertise. Depending on the nature of the study the number of raters and the number of subjects to be studied are determined. As a part of this study, the authors attempted to evaluate the nominal scale agreement between a fixed number of raters by using Fleiss Kappa statistic.. In this study the rates are the students who are studying different subjects in engineering disciplines in a higher education institute. The basic data are obtained from the students feedback returns submitted by the students at the end of the semester. A detailed analysis is carried out for four engineering disciplines and Fleiss Kappa Statistic and related computations are made. The study has clearly revealed that the estimated value of the measure of agreement is above 0.6000 in respect of all the four engineering disciplines. There is some difference between the estimated value of agreement measurement between engineering disciplines. The reason for the difference may be due to the personal opinion of the students pursuing their engineering discipline and the same form the solid basis for Sentiment Analysis.

    Keyword

    Sentiment Analysis, Nominal Scale, Fleiss Kappa Statistic, Coefficient of Agreement.


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