A Survey on Automatic Text Summarization and its Techniques

Authors

  • Ramya R. S. Dayananda Sagar College of Engineering
  • M. Shahina Parveen Dayananda Sagar University
  • Savitha Hiremath Dayananda Sagar University
  • Isha Pugalia Dayananda Sagar University
  • S. H. Manjula Dayananda Sagar University
  • Venugopal K. R. Dayananda Sagar University

Keywords:

Abstractive Text Summarization, Seq2Seq, Pointer Generator Network, Text Categorization

Abstract

In a world with an ever-growing amount of data available on both offline and online sources, the task of extracting the key information from the documents and summarizing the content creates the need for automatic text summarization. In this paper, we will look into the types of automatic text summarization and how it has been helpful in various fields like social media marketing, legal contract analysis, video scripting, etc. Further, this paper conducts a methodical study on abstractive text summarization and highlights the approach which mimics the human cognitive method of summarizing text. The paper aims to analyze the numerous techniques, difficulties, opportunities, and current state of art of abstractive summarization. A detailed survey of research papers/articles was conducted based on the technologies used to make this task quicker and more accurate in recent years.

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Types of Text Summarization

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Published

16.01.2023

How to Cite

[1]
Ramya R. S., M. S. . Parveen, S. . Hiremath, I. . Pugalia, S. H. Manjula, and Venugopal K. R., “A Survey on Automatic Text Summarization and its Techniques ”, Int J Intell Syst Appl Eng, vol. 11, no. 1s, pp. 63–71, Jan. 2023.