Can I read Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing) on EtoBox?

Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing) by Chris Biemann and Alexander Mehler is a nonfiction available to read on EtoBox.

What is Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing) about?

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining, and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies, and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching. The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

Who reads Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing)?

Author

Chris Biemann and Alexander Mehler

Publisher

Springer International Publishing, Cham

Published

2014

Language

EN

ISBN

9783319126555

Category

nonfiction

Subjects

Science, Computer Science, Business