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The State of the Art Text Summarization Techniques

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Applied Computational Technologies (ICCET 2022)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 303))

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Abstract

With the advent of communication technology, a tremendous amount of data is generated. The availability of a vast amount of data provides information and presents the challenge of extracting knowledge from it. The solution to such an issue is text summarization. The documents are examined, and a thorough, compact, and relevant summary is generated using in-text summarization. It is classified into two forms based on the approach used: extractive and abstractive summarization. Extractive summarization selects words and sentences from an existing document to create a summary. Semantic analysis is performed in the case of Abstractive summarization, and new words and phrases are employed to construct the summary. We’ve gone over the many types of text summarization in detail in this paper, along with a discussion of the various research approaches that have been used so far.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, RCPIT, Shirpur, Dhule, 425405, India

    M. M. Saiyyad & Nitin N. Patil

Authors
  1. M. M. Saiyyad
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  2. Nitin N. Patil
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Correspondence to M. M. Saiyyad .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Dr. B. A. Technological University, Lonere, Maharashtra, India

    Brijesh Iyer

  2. Department of Digital Education and Policy, Swansea University, Swansea, UK

    Tom Crick

  3. Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan

    Sheng-Lung Peng

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Saiyyad, M.M., Patil, N.N. (2022). The State of the Art Text Summarization Techniques. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_41

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