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A Concise Review on Automatic Text Summarization

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Computational Intelligence in Data Mining

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 281))

Abstract

Today, data is the most important thing humanity needs, thus understanding the linguistics of such a large data is not practically possible so, text summarization is introduced as the problem in natural language processing (NLP). Text summarization is the technique to convert long text corpus such that the semantics of the text does not change. This paper provides a study of different text summarization methods till Q3 2020. Text summarization methods are broadly classified as abstractive and extractive. In this paper, more focus is given to abstractive summarization a review for most of the methods of text summarization to date is written concisely along with the evaluations and advantages-disadvantages also for each method. At the end of the paper, the challenges faced by researchers for this task are mentioned and what improvements can be done in every method for summarization is also written in a structured way.

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Author information

Authors and Affiliations

  1. K D Patel Department of Information Technology, Faculty of Technology and Engineering (FTE), Chandubhai S. Patel Institute of Technology (CSPIT), Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, 388421, India

    Dishank Jani, Nehal Patel, Hemant Yadav, Sanket Suthar & Sandip Patel

Authors
  1. Dishank Jani
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  2. Nehal Patel
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  3. Hemant Yadav
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  4. Sanket Suthar
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  5. Sandip Patel
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Maharaja Sriram Chandra BhanjaDeo (MSCB) University, Baripada, Odisha, India

    Janmenjoy Nayak

  2. Department of Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    H.S. Behera

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of AI & DS, Ramco Institute of Technology, Rajapalayam, Tamil Nadu, India

    S. Vimal

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Jani, D., Patel, N., Yadav, H., Suthar, S., Patel, S. (2022). A Concise Review on Automatic Text Summarization. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_40

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