Inductive Inference for Large Scale Text Classification

Name: Inductive Inference for Large Scale Text Classification
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642045325
Price: 189.32 EUR
Availability: InStock

Kernel Approaches and Techniques

Автор: Catarina Silva, Bernadete Ribeiro

Език:

Корици: С твърди корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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189.32 € 370.28 лв

Text classification is becoming a crucial task to analysts in different areas. In the last few decad...

Информация за книгата

Автор

Catarina Silva, Bernadete Ribeiro

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2009

страници

155

EAN

9783642045325

ISBN

3642045324

Enbook ID

01650567

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

940

Размери

155 x 235 x 23

Пълно описание

Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters.§This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.

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Inductive Inference for Large Scale Text Classification

Kernel Approaches and Techniques

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също