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Keyword extraction by entropy difference between the intrinsic and extrinsic mode

Author

Listed:
  • Yang, Zhen
  • Lei, Jianjun
  • Fan, Kefeng
  • Lai, Yingxu

Abstract

This paper proposes a new metric to evaluate and rank the relevance of words in a text. The method uses the Shannon’s entropy difference between the intrinsic and extrinsic mode, which refers to the fact that relevant words significantly reflect the author’s writing intention, i.e., their occurrences are modulated by the author’s purpose, while the irrelevant words are distributed randomly in the text. By using The Origin of Species by Charles Darwin as a representative text sample, the performance of our detector is demonstrated and compared to previous proposals. Since a reference text “corpus” is all of an author’s writings, books, papers, etc. his collected works is not needed. Our approach is especially suitable for single documents of which there is no a priori information available.

Suggested Citation

  • Yang, Zhen & Lei, Jianjun & Fan, Kefeng & Lai, Yingxu, 2013. "Keyword extraction by entropy difference between the intrinsic and extrinsic mode," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4523-4531.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:19:p:4523-4531
    DOI: 10.1016/j.physa.2013.05.052
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    Citations

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    Cited by:

    1. Mehri, Ali & Agahi, Hamzeh & Mehri-Dehnavi, Hossein, 2019. "A novel word ranking method based on distorted entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 484-492.
    2. Jamaati, Maryam & Mehri, Ali, 2018. "Text mining by Tsallis entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1368-1376.

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