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Improved RAKE Models to Extract Keywords from Hindi Documents

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Information Systems Design and Intelligent Applications

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

Abstract

In this paper, we have proposed several improved versions of rapid automatic keyword extraction (RAKE) algorithm for extracting keywords from Hindi documents. As RAKE requires a stopword list to generate the set of candidate keywords, which is unavailable in Hindi, we have constructed the Hindi stopword list for this purpose. We have found some weakness in keyword scoring measures of RAKE and proposed several models such as N-RAKE, SD-RAKE, NSD-RAKE, and WOS-RAKE to improve upon the effectiveness of RAKE. We have found that our modifications yield better results in general than original RAKE.

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References

  1. Ortuño, M., Carpena, P., Bernaola-Galván, P., Muñoz, E. and Somoza, A.M., “Keyword detection in natural languages and DNA”, Europhys. Lett. 57, (2002), pp. 759–764.

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  2. Rose, S., Engel, D., Cramer, N., & Cowley, W., “Automatic keyword extraction from individual documents”, Text Mining: Applications and Theory, John Wiley & Sons Ltd., (2010).

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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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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Siddiqi, S., Sharan, A. (2018). Improved RAKE Models to Extract Keywords from Hindi Documents. 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_47

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  • DOI: https://doi.org/10.1007/978-981-10-7512-4_47

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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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