Xun Liang

Natural Language Processing: Everything to Vector

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 264
• Erscheinungstermin: 20. Juli 2021
• Englisch
• Abmessung: 220mm x 150mm x 16mm
• Gewicht: 411g
• ISBN-13: 9786204182094
• ISBN-10: 6204182099
• Artikelnr.: 62289264

Autorenporträt

Xun Liang tem trabalhado nos campos das redes sociais, aprendizagem de máquinas, e sistemas de informação financeira durante mais de 20 anos. É o perito principal de muitos projectos de investigação e industriais. Publicou mais de 250 artigos e 20 livros, e solicitou ou obteve mais de 50 patentes de invenção.