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Literature Study on Multi-document Text Summarization Techniques

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

Text summarization is a method which generates a shorter and a preciseform of one or more text documents. Automatic text summarization plays an essential role in finding information from large text corpus or an internet. What had actually started as a single document Text Summarization has now evolved and developed into generating multi-document summarization. There are a number of approaches to multi-document summarization such as Graph, Cluster, Term-Frequency, Latent Semantic Analysis (LSA) based etc. In this paper we have started with introduction of multi-document summarization and then have further discussed comparison and analysis of various approaches which comes under the multi-document summarization. The paper also contains details about the benefits and problems in the existing methods. This would especially be helpful for researchers working in this field of text data mining. By using this data, researchers can build new or mixed based approaches for multidocument summarization.

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Author information

Authors and Affiliations

  1. Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, India

    Chintan Shah

  2. The Maharaja Sayajjirao University, Baroda, India

    Anjali Jivani

Authors
  1. Chintan Shah
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  2. Anjali Jivani
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Corresponding authors

Correspondence to Chintan Shah or Anjali Jivani .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Shah, C., Jivani, A. (2016). Literature Study on Multi-document Text Summarization Techniques. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_53

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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