Open AccessA brief review on text summarization methods
Author(s) -
Rasmita Rautray,
Lopamudra Swain,
Rasmita Dash,
Rajashree Dash
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.5.25070
Subject(s) - automatic summarization , computer science , multi document summarization , text graph , information retrieval , natural language processing , field (mathematics) , artificial intelligence , question answering , mathematics , pure mathematics
In present scenario, text summarization is a popular and active field of research in both the Information Retrieval (IR) and Natural Language Processing (NLP) communities. Summarization is important for IR since it is a means to identify useful information by condensing the document from large corpus of data in an efficient way. In this study, different aspects of text summarization methods with strength, limitation and gap within the methods are presented.