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Více informací o knize Natural Language Processing: Everything to Vector

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Anotace knihy

Natural language processing is a discipline that integrates computer science, linguistics and mathematics. A common view is that knowledge graph is the cornerstone of natural language processing. Vectorization is an essential step in natural language processing and knowledge graph. Vector space is by far the most complete and perfect modeling space in mathematics. A vector can be used to represent any object in a linear space as long as a suitable basis is found. Natural language can also be mapped to a vector space and transformed into a machine-friendly form - a vector - that allows computers to process it quickly. Once vectors are obtained, they can be analyzed using various mathematical tools. It is from vectorization that this book brings together natural language processing and knowledge graphs, combines different application perspectives, introduces the way to vectorize different research objects from multiple dimensions, and further proposes an everything2vector model.

Parametry knihy

Zařazení knihy Knihy v němčině Sozialwissenschaften, Recht, Wirtschaft Wirtschaft Wirtschaft - Sonstiges

• Plný název: Natural Language Processing: Everything to Vector
• Autor: Xun Liang
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 264
• EAN: 9786204182094
• ISBN: 6204182099
• ID: 36702488
• Nakladatelství: LAP LAMBERT Academic Publishing
• Hmotnost: 411 g
• Rozměry: 220 × 150 × 16 mm
• Datum vydání: 20. July 2021

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