Multilingual Text Analysis: Challenges, Models, and Approaches

Marina Litvak, Natalia Vanetik

Research output: Book/ReportBookpeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
PublisherWorld Scientific Publishing Co.
Number of pages489
ISBN (Electronic)9789813274884
ISBN (Print)9789813274877
DOIs
StatePublished - 1 Jan 2019
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science

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