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DOI Prefix: 10.47001/IRJIET

Implemented Text Rank based Automatic Text Summarization using Keyword Extraction

Anurag Kumar YadavResearch Scholar, Department of CSE, RNTU, IndiaMukesh KumarHOD, Assistant Professor, Department of CSE, RNTU, IndiaAyonija PathreAssistant Professor, Department of CSE, RNTU, India

Vol 4 No 11 (2020): Volume 4, Issue 11, November 2020 | Pages: 20-25

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-11-2020

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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.  

Keywords

Automatic text summarization, Keyword Extraction, F-measure, Machine Learning


Citation of this Article

Anurag Kumar Yadav, Mukesh Kumar, Ayonija Pathre, “Implemented Text Rank based Automatic Text Summarization using Keyword Extraction” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 4, Issue 11, pp 20-25, November 2020. https://doi.org/10.47001/IRJIET/2020.411003

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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