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: 1082 CZK
Availability: InStock

Autor: Jyothi Bellary, Keshava Reddy E.

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

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1 082 Kč

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

Informace o knize

Autor

Jyothi Bellary, Keshava Reddy E.

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

124

EAN

9783659860454

Enbook ID

02984780

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

203

Rozměry

150 x 220 x 7

Kompletní 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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