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Keyphrase Extraction Using Extended List of Stop Words with Automated Updating of Stop Words List

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Advances in Intelligent Systems and Computing II (CSIT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 689))

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Abstract

In the paper we consider the problem of keyphrase extraction. Our tasks is to examine additionally the approach to keyphrase extraction, which is based on the use of extended lists of stop words. The second objective of the research is to test the approach for automatic expansion of such extended lists. The obtained results allow to confirm the possibility of improving the quality of algorithms of keyphrase extraction. The results of experiments with the extended lists of stop words show the potential of the proposed approach.

The reported study was funded by RFBR according to the research project No. 16-37-00430 mol-a and partially supported by the Government of Russian Federation, Grant 074-U01.

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Author information

Authors and Affiliations

  1. Saint-Petersburg State University, Saint-Petersburg, Russia

    Svetlana Popova

  2. ITMO University, Saint-Petersburg, Russia

    Svetlana Popova

  3. Institute of Technology Tallaght, Dublin, Ireland

    Gabriella Skitalinskaya

  4. Moscow Institute of Physics and Technology (State University), Moscow, Russia

    Gabriella Skitalinskaya

Authors
  1. Svetlana Popova
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  2. Gabriella Skitalinskaya
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Corresponding author

Correspondence to Gabriella Skitalinskaya .

Editor information

Editors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Natalia Shakhovska

  2. IRTC ITS NASU, Kiev, Ukraine

    Volodymyr Stepashko

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Popova, S., Skitalinskaya, G. (2018). Keyphrase Extraction Using Extended List of Stop Words with Automated Updating of Stop Words List. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-70581-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70580-4

  • Online ISBN: 978-3-319-70581-1

  • eBook Packages: EngineeringEngineering (R0)

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