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Statistical Approach Based Keyword Extraction Aid Dimensionality Reduction

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Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 132))

Abstract

In the text document analysis process keywords are often represented in bag-of-words or vector space model. This representation is high-dimensional and sparse. Keyword extraction is considered as core technology of all automatic processing for text materials. Keywords represent in condensed from the essential content of a document. In this paper we used keyword extraction techniques for find an index terms that contain most important information and unique identify the documents. We proposed keyword extraction based text summarization techniques helps to reduce dimensionality of the vector space model at initial level.

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Author information

Authors and Affiliations

  1. Dept of CSE, GMR Institute of Technology, Rajam, Srikakulam(Dist), A.P., India

    M. Ramakrishna Murty

  2. Dept of CSE, JNTU, Kakinada, A.P., India

    J. V. R. Murthy

  3. Dept of CS&SE, A.U, Visakhapatnam, A.P., India

    P. V. G. D. Prasada Reddy

  4. Dept of CSE, ANITS, Visakhapatna, A.P., India

    Suresh Chandra Satapathy

Authors
  1. M. Ramakrishna Murty
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  2. J. V. R. Murthy
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  3. P. V. G. D. Prasada Reddy
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  4. Suresh Chandra Satapathy
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Editor information

Editors and Affiliations

  1. Dept of Computer Science and Engineering ANITS, Andhra University, Sangivalasa, 530003, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. College of Engineering Dept. of CS&SE ANITS, Andhra University, Sangivalasa, 530003, Vishakapatnam, India

    P. S. Avadhani

  3. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

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© 2012 Springer-Verlag Berlin Heidelberg

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Ramakrishna Murty, M., Murthy, J.V.R., Prasada Reddy, P.V.G.D., Satapathy, S.C. (2012). Statistical Approach Based Keyword Extraction Aid Dimensionality Reduction. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_51

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  • DOI: https://doi.org/10.1007/978-3-642-27443-5_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27442-8

  • Online ISBN: 978-3-642-27443-5

  • eBook Packages: EngineeringEngineering (R0)

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