Extractive Text Summarization Using Sentence Ranking

Title

Extractive Text Summarization Using Sentence Ranking

Creator

Madhuri J.N.; Ganesh Kumar R.

Description

Automatic Text summarization is the technique to identify the most useful and necessary information in a text. It has two approaches 1)Abstractive text summarization and 2)Extractive text summarization. An extractive text summarization means an important information or sentence are extracted from the given text file or original document. In this paper, a novel statistical method to perform an extractive text summarization on single document is demonstrated. The method extraction of sentences, which gives the idea of the input text in a short form, is presented. Sentences are ranked by assigning weights and they are ranked based on their weights. Highly ranked sentences are extracted from the input document so it extracts important sentences which directs to a high-quality summary of the input document and store summary as audio. 2019 IEEE.

Source

2019 International Conference on Data Science and Communication, IconDSC 2019

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

abstractive text summarization; Automatic text summarization; extractive summarization; sentence extraction; term weight

Coverage

Madhuri J.N., Dept. of Computer science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Ganesh Kumar R., Dept. of Computer science and Engineering, CHRIST, Deemed to be University, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-153869319-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IconDSC.2019.8817040

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072766280&doi=10.1109%2fIconDSC.2019.8817040&partnerID=40&md5=3f20c742f944f976c8cd964afb33f4f0