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Query based text summarization


Article Information

Title: Query based text summarization

Authors: Shail Shah, S. Adarshan Naiynar, B. Amutha

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 19

Language: English

Categories

Abstract

With the increasing demands of solutions to the problems in the field of Artificial Intelligence and Natural Language Processing is one of the most challenging tasks. Query Based Text Summarizer is one of the most explored topics in Natural Language Processing which involves processing and comprehending of text document with an appropriate result based on an input query. There have been many models and structures for a text summarizer which generates effective results; there have been very few approaches towards an extension of this problem. Query based text summarizer is based on sentence-sentence and sentence-word relationship using graphs structure. Several methods and algorithms based on statistics and linguistic techniques have been adopted in the past, however in order to maximise its results, a combination of these techniques must be applied to make it more efficient. This paper aims to solve the righteousness of the output that is being generated.


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