Query Based Text Summarization using Machine learning Approach

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2019, 2019

6139452821 / 9786139452828

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. …

Seller Inventory # 9786139452828

Title
Query Based Text Summarization using Machine learning Approach
Author
Zarah Zainab
Publisher
LAP LAMBERT Academic Publishing Feb 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139452821
ISBN 13
9786139452828
Item weight
137 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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