Query based text summarization

1Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Now a day’s, The advancement of technology implies the large amount of online textual Information, this leads to a need for Text Summarizers which can provide important textual data from large data source like www, into a well-structured document formats. It becomes an alive analysis activity to specify the related data that is retrieved from huge set of documents which are established from various sectors like social media. Text summary is the action of precise the documents by protecting the key concepts of the text. This process can be accomplished via extractive summary and abstractive summary. In this paper, we suggested summarization technique that is to be applied on online information depending upon the User required Document.

Cite

CITATION STYLE

APA

Mangalampati, S., & Ponnuru, R. B. (2019). Query based text summarization. International Journal of Recent Technology and Engineering, 8(2), 1475–1477. https://doi.org/10.35940/ijrte.B2113.078219

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free