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Information Journal Paper

Title

A new method in text mining using fractional entropy

Pages

  97-110

Abstract

 In this paper, we firstly review some definitions related to fractional calculus and Fractional entropy, as a generalization of Shannon entropy. Then we introduce the generalized word importance metric based on Fractional entropy. Using the proposed definition, we introduce a new Text mining method based on Fractional entropy. This method for keyword extraction of the Statistical Inference book by Casella and Berger (1990) shows that the F-measure value of the proposed Text mining method, is higher than the related value for common Text mining method based on Shannon entropy. These results indicate that the proposed Text mining method based on Fractional entropy is more comprehensive than the traditional Text mining based on Shannon entropy.

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    APA: Copy

    MEHRI DEHNAVI, HOSSEIN, AGAHI, HAMZEH, & MEHRI, ALI. (2020). A new method in text mining using fractional entropy. JOURNAL OF RESEARCH ON MANY BODY SYSTEMS, 10(2 ), 97-110. SID. https://sid.ir/paper/388583/en

    Vancouver: Copy

    MEHRI DEHNAVI HOSSEIN, AGAHI HAMZEH, MEHRI ALI. A new method in text mining using fractional entropy. JOURNAL OF RESEARCH ON MANY BODY SYSTEMS[Internet]. 2020;10(2 ):97-110. Available from: https://sid.ir/paper/388583/en

    IEEE: Copy

    HOSSEIN MEHRI DEHNAVI, HAMZEH AGAHI, and ALI MEHRI, “A new method in text mining using fractional entropy,” JOURNAL OF RESEARCH ON MANY BODY SYSTEMS, vol. 10, no. 2 , pp. 97–110, 2020, [Online]. Available: https://sid.ir/paper/388583/en

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