This paper is published in Volume-5, Issue-3, 2019
Area
Machine Learning
Author
Anagha Shamprasad
Co-authors
Akshatha G Krishna, B M Shashank, Reshma J, Lokesh S
Org/Univ
Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
10 May, 2019
Paper ID
V5I3-1279
Publisher
Keywords
Natural Language Processing (NLP), Extractive summarization and abstractive summarization, Entity recognition, Relationship extraction, Template design, Summary generation

Citationsacebook

IEEE
Anagha Shamprasad, Akshatha G Krishna, B M Shashank, Reshma J, Lokesh S. Automatic text summarization, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anagha Shamprasad, Akshatha G Krishna, B M Shashank, Reshma J, Lokesh S (2019). Automatic text summarization. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Anagha Shamprasad, Akshatha G Krishna, B M Shashank, Reshma J, Lokesh S. "Automatic text summarization." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

In the recent years we have seen an increasing amount of data generation in every field. It becomes our utmost priority to manage this data. The data produced can be structured or unstructured. When it comes to gain knowledge through data, it becomes easier if we only get a summary out of it. In this digital era, most of us do not have enough time to go through many pages of data. Text Summarization aims to retrieve only the important information out of a large text document. This can be achieved through NLP techniques.
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