Query Based Text Summarization using Machine learning Approach: Learning Approaches - Brossura

Zainab, Zarah; Shah, Muzamil

 
9786139452828: Query Based Text Summarization using Machine learning Approach: Learning Approaches
Brossura
ISBN 10: 6139452821 ISBN 13: 9786139452828
Casa editrice: LAP LAMBERT Academic Publishing, 2019

Sinossi

Extraction of relevant information on a specific query from rapidly growing data is a concern for quiet time in order to scan and analyze data from all the related documents. Therefore, text summarization is paramount research area these days. It is about to find most relevant information from single or multi-documents. A reasonable amount of work is done in this area to overcome extensive searching and to reduce the time required. The knowledge-based and machine learning are the two methods for query-based text summarization where Machine learning approaches are mostly used for calculating probabilistic feature using Natural Language Processing (NLP) tools and techniques for both supervised and unsupervised learning. In the first part of this research work include to identify and analyze machine learning approaches for query-based text summarization for finding a useful summary for the users as specified by their need. In the second part, a comprehensive discussion is done to present the internal working mechanism of machine learning approaches for query-based text summarization.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
6139452821
ISBN 13 
9786139452828
Rilegatura
Copertina flessibile
Numero di pagine
80
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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