Terminology Extraction: Fundamentals and Applications
Podrobnosti o e‑knize
Information extraction includes a number of subtasks, one of which is terminology extraction. The purpose of terminology extraction is to mechanically extract pertinent terms from a given corpus in order to fulfill the goal of the process.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Terminology extraction
Chapter 2: Natural language processing
Chapter 3: Text mining
Chapter 4: WordNet
Chapter 5: Word-sense disambiguation
Chapter 6: Statistical semantics
Chapter 7: Ontology learning
Chapter 8: Knowledge extraction
Chapter 9: Automatic taxonomy construction
Chapter 10: Keyword extraction
(II) Answering the public top questions about terminology extraction.
(III) Real world examples for the usage of terminology extraction in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of terminology extraction' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of terminology extraction.
