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Natural Language Processing: Everything to Vector - Xun Liang

Anglų
2021-07-20
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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 objec ... Visas aprašymas

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Aprašymas

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.

Daugiau informacijos

Autorius Xun Liang
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2021
Viršelio tipas Minkšti viršeliai
EAN 9786204182094
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58,18 € 77,57 €