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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Text Mining: From Ontology Learning to Automated Text Processing Applications

Text Mining: From Ontology Learning to Automated Text Processing Applications

Biemann, Chris
Mehler, Alexander

Hardcover

Series: Theory and Applications of Natural Language Processing

DatabasesGeneral ComputersSystem Administration

ISBN10: 3319126547
ISBN13: 9783319126548
Publisher: Springer Nature
Published: Jan 14 2015
Pages: 238
Weight: 1.16
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English

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.

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