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: 262.84 RON
Availability: InStock

Autor: Jyothi Bellary, Keshava Reddy E.

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Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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262.84 lei

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

Informații despre carte

Autor

Jyothi Bellary, Keshava Reddy E.

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

124

EAN

9783659860454

Enbook ID

02984780

Editura

LAP Lambert Academic Publishing

Greutate

203

Dimensiuni

150 x 220 x 7

Descriere completă

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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