Skip to main content
SpringerLink
Log in

Extraction Based Automatic Text Summarization System with HMM Tagger

  • Conference paper
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

A rough estimation of world’s famous search engine Google in year 2010 revealed that the total size of internet has now turned to 2 petabytes. The increase in the performance and fast accessing of web resources has made a new challenge of browsing among huge data on internet. It is hence browsing on web is an under laid topic for researchers. The research on web has turned its steps towards Browsing among Information (BAI) rather than Browsing for Information (BFI).The field of Information Extraction (IE) is offering a huge scope to concise and compact the information enabling the user to decide by mere check at snippets of each link. Automatic text summarization is the process of condensing the source text into a shorter version preserving its information content and overall meaning. In this paper, we propose a frequent term based text summarization technique based on the analysis of Parts of Speech for generating effective and efficient summary.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal, 159–165 (April 1958)

    Google Scholar 

  2. Edmundson, H.P.: New Methods in Automatic Extracting. Journal of the Association for Computing Machinery 16(2), 264–285 (1969)

    MATH  Google Scholar 

  3. Pollock, J.J., Zamora, A.: Automatic Abstracting Research at Chemical Abstracts Service. Journal of Chemical Information and Computer Sciences 15(4), 226–232 (1975)

    Article  Google Scholar 

  4. Brown Tagset, http://www.scs.leeds.ac.uk/amalgam/tagsets/brown.html

  5. McKeown, K.R.: Discourse Strategies for Generating Natural Language Text. Department of Computer Science, Columbia University, New York (1982)

    Google Scholar 

  6. Brandow, R., Mitze, K., Rau, L.F.: Automatic condensation of electronic publications by sentence selection. Information Processing Management 31(5), 675–685 (1995)

    Article  Google Scholar 

  7. Barzilay, R., Elhadad, M., Boguraev, Kennedy, M.: Using Lexical Chains for Text Summarization. In: Workshop on Intelligent Scalable Text Summarization, Ben Gurion University of the Negev, Be’er Sheva (1997)

    Google Scholar 

  8. Radev, R., Blair-goldensohn, S., Zhang, Z.: Experiments in Single and Multi-Docuemtn Summarization using MEAD. In: First Document Understanding Conference, New Orleans, LA (2001)

    Google Scholar 

  9. Karthik Kumar, G., Sudheer, K., Avinesh, P.V.S.: Comparative Study of Various Machine Learning Methods for Telugu Part of Speech Tagging. In: Proceeding of the NLPAI Machine Learning Competition (2006)

    Google Scholar 

  10. Bahl, L., Mercer, R.L.: Part-Of-Speech assignment by a statistical decision algorithm. In: IEEE International Symposium on Information Theory, pp. 88–89 (1976)

    Google Scholar 

  11. Gupta, V., Lehal, G.S.: A Survey of Text Summarization Extractive Techniques. Journal of Emerging Technologies In Web Intelligence 2(3) (August 2010)

    Google Scholar 

  12. Radev, D.R., Hovy, E., McKeown, K.: Introduction to the special issue on summarization. Computational Linguistics 28(4), 399–408 (2002)

    Article  Google Scholar 

  13. Nahm, U.Y., Mooney, R.J.: Text mining with information extraction. In: AAAI 2002, Spring Symposium on Mining Answers from Texts and Knowledge Bases (2002)

    Google Scholar 

  14. Nou, C.: Khmer Part-of-Speech Tagging. Global Information and Telecommunication Studies. Waseda University

    Google Scholar 

  15. Suneetha, M., Sameen Fatima, S.: Corpus based Automatic Text Summarization System with HMM Tagger. International Journal of Soft Computing and Engineering (IJSCE) 1(3), 118–123 (2011) ISSN: 2231-2307

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of IT, VRSEC, Vijayawada, India

    Suneetha Manne & Zaheer Parvez Shaik Mohd.

  2. Department of CSE, Osmania University, Hyderabad, India

    S. Sameen Fatima

Authors
  1. Suneetha Manne
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zaheer Parvez Shaik Mohd.
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Sameen Fatima
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Manne, S., Shaik Mohd., Z.P., Sameen Fatima, S. (2012). Extraction Based Automatic Text Summarization System with HMM Tagger. 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_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27443-5_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27442-8

  • Online ISBN: 978-3-642-27443-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation