Skip to main content

Comprehensive and Evolution Study Focusing on Comparative Analysis of Automatic Text Summarization

  • Conference paper
  • First Online:
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2 ( ICTIS 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 84))

  • 2025 Accesses

Abstract

In the escalating trend of atomization and online information, text summarization bolster in perceiving textual information in the form of summary. It’s highly tedious for human beings to manually summarize large documents of text. In this paper, a study on abstractive and extractive content rundown strategies has been displayed. In Extractive Text Summarization it talk about TF-IDF, Cluster based, Graph theory, Machine learning, Latent Semantic Analysis (LSA) and Fuzzy logic approaches. Abstractive rundown techniques are ordered into two classes i.e. Structured based approach and Semantic based approach. In Structure Based approach it talk about Tree based, Template based, Ontology based, Lead & Phase based and Rule based method. In Semantic Based Approach it talks about Multimodal semantic, Informative item based and Semantic graph based method. The central idea of this method has been elaborated further, apart from idea, the advantages and disadvantages of these methods have been procured.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Khan, A., Salim, N.: A review on abstractive summarization methods. J. Theor. Appl. Inf. Technol. 59, 64–72 (2014)

    Google Scholar 

  2. Gaikwad, D.K., Mahender, C.N.: A review paper on text summarization. Int. J. Adv. Res. Comput. Commun. Eng. 5(3), 22–28 (2016)

    Google Scholar 

  3. Ranjith, S.R.: A survey on sentence similarity based automatic text summarization techniques. Technical Research Organization India

    Google Scholar 

  4. Oak, R.: Extractive techniques for automatic document summarization: a survey. Int. J. Innov. Res. Comput. Commun. Eng. 4(3) (2016)

    Google Scholar 

  5. Munot, N., Govilkar, S.S.: Comparative study of text summarization methods. Int. J. Comput. Appl. 102(12), 0975–8887 (2014)

    Google Scholar 

  6. Saranyamol, C.S., Sindhu, L.: A survey on automatic text summarization. Int. J. Comput. Sci. Inf. Technol. 5(6), 7889–7893 (2016)

    Google Scholar 

  7. Bhatia, N., Jaiswal, V.: Trends in extractive and abstractive techniques in text summarization. Int. J. Comput. Appl. 117(6), 0975–8887 (2015)

    Google Scholar 

  8. Murty, M.R., et al.: A survey of cross-domain text categorization techniques. In: 2012 1st International Conference on Recent Advances in Information Technology (RAIT). IEEE (2012)

    Google Scholar 

  9. Kasture, N.R., Yargal, N., Singh, N.N., Kulkarni, N., Mathur, V.: A survey on method of abstractive text summarization. Int. J. Res. Emerg. Sci. Technol. 1(6), 53–57 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rima Patel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Patel, R., Thakkar, A., Makwana, K., Patel, J. (2018). Comprehensive and Evolution Study Focusing on Comparative Analysis of Automatic Text Summarization. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-319-63645-0_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63645-0_43

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63644-3

  • Online ISBN: 978-3-319-63645-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics