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Advancement of Text Summarization Using Machine Learning and Deep Learning: A Review

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Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 121))

Abstract

The rapid growth in the text available on the Internet in the variety of forms demands in-depth research for summarizing text automatically. The summarized form produced from one or multiple documents conveys the important message, which is significantly shorter than the original text. At the same time, summarizing the massive text collection exhibits several challenges. Besides the time complexity, the semantic similarity degree is one of the major issues in text summarization. The summarized text helps the user understand the large corpus much faster and with ease. In this paper, we reviewed several categories of text summarization. First, the techniques have been studied under the category of extractive and abstractive text summarization. Then, a review has been extended for text summarization using topic models. Furthermore, we incorporated machine learning aspects to summarize the large text. We also presented a comparison of techniques over numerous performance measures.

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Authors and Affiliations

  1. Vishwakarma Government Engineering College, Ahmedabad, Gujarat, India

    Rishi Kotadiya, Shivangi Bhatt & Uttam Chauhan

Authors
  1. Rishi Kotadiya
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  2. Shivangi Bhatt
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  3. Uttam Chauhan
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Corresponding author

Correspondence to Rishi Kotadiya .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India

    Pradeep Kumar Singh

  2. Faculty of Mathematics, Physics, and Informatics, University of Gdańsk, Gdańsk, Poland

    Wiesław Pawłowski

  3. Department of Computer Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  4. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Neeraj Kumar

  5. The National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil

    Joel J. P. C. Rodrigues

  6. King Abdullah II School of Information Technology, University of Jordan, Amman, Jordan

    Mohammad Salameh Obaidat

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Kotadiya, R., Bhatt, S., Chauhan, U. (2020). Advancement of Text Summarization Using Machine Learning and Deep Learning: A Review. In: Singh, P., Pawłowski, W., Tanwar, S., Kumar, N., Rodrigues, J., Obaidat, M. (eds) Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol 121. Springer, Singapore. https://doi.org/10.1007/978-981-15-3369-3_35

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