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Information Systems Design and Intelligent Applications pp 346–355Cite as

Keyword Extraction from Hindi Documents Using Document Statistics and Fuzzy Modelling

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 672))

Abstract

In this paper, we put forward a novel unsupervised, domain independent and corpus independent approach for automatic keyword extraction. Our approach combines the document statistics of frequency and spatial distribution of a word in order to extract the keywords. We have extracted keywords from Hindi documents using document statistics and utilized the power of fuzzy logic to combine those document statistics effectively for better results. Further, we use this information to frame fuzzy rules for keyword extraction. Main advantages of our approach are that it uses the fuzzy membership for the variables instead of dealing with crisp thresholds and corpus independent setting of fuzzy membership boundaries. Our work is especially significant in the light that it has been implemented and tested on Hindi which is a resource poor and underrepresented language.

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References

  1. Zahang, C., Wang, H., Liu, Y., Wu, D., Liao, Y., & Wang, B.: Automatic Keyword Extraction from Documents Using Conditional Random Fields, Journal of CIS (2008), pp. 1169–1180.

    Google Scholar 

  2. Ortuño, M. et al.: Keyword detection in natural languages and DNA, Europhys. Lett. (2002).

    Google Scholar 

  3. Luhn, H. P.: A Statistical Approach to Mechanized Encoding and Searching of Literary Information, IBM Journal of Research and Development, 1 (4). (1957) pp. 309–317.

    Google Scholar 

  4. G. Salton, C. S. Yang, Yu, C. T.: A Theory of Term Importance in Automatic Text Analysis, Journal of the American society for Information Science, 26(1), (1975) pp. 33–44.

    Google Scholar 

  5. Herrera, J.P., Pury, P.A.: Statistical keyword detection in literary corpora, The European physical journal, (2008).

    Google Scholar 

  6. Carpena, P. et al.: Level statistics of words-Finding keywords in literary texts and symbolic sequences, Physical Review E, (2009).

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India

    Sifatullah Siddiqi & Aditi Sharan

Authors
  1. Sifatullah Siddiqi
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  2. Aditi Sharan
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Corresponding author

Correspondence to Sifatullah Siddiqi .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Technology and Engineering Division, Duy Tan University, Da Nang, Vietnam

    Bao Le Nguyen

  3. Duy Tan University, Da Nang, Vietnam

    Nhu Gia Nguyen

  4. Department of CSE, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  5. Faculty of Information Technology , Hai Phong University, Hai Phong, Vietnam

    Dac-Nhuong Le

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Cite this paper

Siddiqi, S., Sharan, A. (2018). Keyword Extraction from Hindi Documents Using Document Statistics and Fuzzy Modelling. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_35

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  • DOI: https://doi.org/10.1007/978-981-10-7512-4_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7511-7

  • Online ISBN: 978-981-10-7512-4

  • eBook Packages: EngineeringEngineering (R0)

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