An Automatic Text Summarization: A Systematic Review

EasyChair Preprint no. 869

Abstract

The 21st century has become a century of information overload, where in fact information related to even one topic (due to its huge volume) takes a lot of time to manually summarize it into few lines. Thus, in order to address this problem, Automatic Text Summarization methods have been developed. Generally, there are two approaches that are currently being used in practice: Extractive and Abstractive methods. In this paper, we have reviewed papers from IEEE and ACM libraries those related to Automatic Text Summarization for the English language.

Keyphrases: Abstractive, Automatic Text Summarization, Extractive, Extractive Automatic Text Summarization, Extractive Text Summarization, Review Paper, systematic review, Text Summarization

@Booklet{EasyChair:869,
  author = {Vishwa Patel and Nasseh Tabrizi},
  title = {An Automatic Text Summarization: A Systematic Review},
  howpublished = {EasyChair Preprint no. 869},

  year = {EasyChair, 2019}}