Terminology Extraction: Fundamentals and Applications

· Artificial Intelligence Kitabu cha 229 · One Billion Knowledgeable
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Ukadiriaji na maoni hayajahakikishwa  Pata Maelezo Zaidi

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What Is Terminology Extraction

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.

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