Multilingual Text Analysis: Challenges, Models, And Approaches
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Category=UMX
Category=UYQM
Crowdsourcing
Deep Learning
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Event Analysis
Event Detection
Financial Narrative Processing
Generation
Linguistic Bias
Minimal Description Length principle
Neural Model
Regression Model
Social Media
Summary Evaluation
Text Complexity
Text Extraction
Topic Model
Product details
- ISBN 9789813274877
- Publication Date: 05 Mar 2019
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
