Implemented Text Rank based Automatic Text Summarization using Keyword Extraction

Abstract

The Automatic text summarization is a kind of technique for generating a precise and concise summary. For the summarization, the machine learning algorithm can be trained to comprehend documents and identify the sections that communicate important facts and information before producing the required summarized texts. In this research paper, we are adopting implemented text rank based Automatic Text Summarization to achieve quality summary and quality keywords which are required for text summarization. The performance of the proposed summarization system is measured in terms of F-measure score. The outcome of research study shows around 2 percentage better outcomes as compared to earlier work.  

Country : India

1 Anurag Kumar Yadav2 Mukesh Kumar3 Ayonija Pathre

  1. Research Scholar, Department of CSE, RNTU, India
  2. HOD, Assistant Professor, Department of CSE, RNTU, India
  3. Assistant Professor, Department of CSE, RNTU, India

IRJIET, Volume 4, Issue 11, November 2020 pp. 20-25

doi.org/10.47001/IRJIET/2020.411003

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