Multilingual Text Analysis: Challenges, Models, And Approaches (Hardcover)

Text analytics (TA) covers a very wide research area. Its overarching goal is to discover and present knowledge - facts, rules, and relationships - that is otherwise hidden in the textual content. The authors of this book guide us in a quest to attain this knowledge automatically, by applying various machine learning techniques.This book describes recent development in multilingual text analysis. It covers several specific examples of practical TA applications, including their problem statements, theoretical background, and implementation of the proposed solution. The reader can see which preprocessing techniques and text representation models were used, how the evaluation process was designed and implemented, and how these approaches can be adapted to multilingual domains.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	February 2019
First published:	2019
Editors:	Marina Litvak • Natalia Vanetik
Dimensions:	161 x 238 x 31mm (L x W x T)
Format:	Hardcover
Pages:	500
ISBN-13:	978-981-3274-87-7
Categories:	Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-3274-87-5
Barcode:	9789813274877

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