Scalability Issues of NER using Multi-Class Support Vector Machines

Name: Scalability Issues of NER using Multi-Class Support Vector Machines
Brand: LAP Lambert Academic Publishing
SKU: 9783659860454
Price: 47.34 EUR
Availability: InStock

Autor: Jyothi Bellary, Keshava Reddy E.

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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47.34 €

Named Entity Recognition (NER) is designed to extract and to categorize rigid designators in written...

Informácie o knihe

Autor

Jyothi Bellary, Keshava Reddy E.

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

124

EAN

9783659860454

Enbook ID

02984780

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

203

Rozmery

150 x 220 x 7

Kompletný popis

Named Entity Recognition (NER) is designed to extract and to categorize rigid designators in written text such as proper names, scientific species, and temporary expressions. There has been increasing interest in this area of research since the early 90's. In this book, we present a pattern shifting away from handcrafted rules, and towards machine learning techniques. Still, latest machine learning techniques have a problem with annotated data accessibility, which is a serious drawback in building and keeping large-scale Named Entity Recognition systems. In this book, we present a new model called as Multi class Support Vector Machine for workflow scheduling in cloud. This workflow scheduling provides a framework for scheduling the entity identification with multiclass Support Vector Machine classifier. The algorithm for the scheduling of resources in cloud called as improved allocation, which continuously and vigorously reallocates multiple types of named entities to the cloud resources to fulfill the cost and performance requirements. This book shows how to create a Multi Class SVM classifier for NER system in environment of cloud.

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Scalability Issues of NER using Multi-Class Support Vector Machines

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