© 2010

Inductive Inference for Large Scale Text Classification

Kernel Approaches and Techniques


Part of the Studies in Computational Intelligence book series (SCI, volume 255)

Table of contents

  1. Front Matter
  2. Fundamentals

    1. Front Matter
      Pages 1-1
    2. Catarina Silva, Bernardete Ribeiro
      Pages 3-29
    3. Catarina Silva, Bernardete Ribeiro
      Pages 31-48
  3. Approaches and techniques

    1. Front Matter
      Pages 49-49
    2. Catarina Silva, Bernardete Ribeiro
      Pages 51-70
    3. Catarina Silva, Bernardete Ribeiro
      Pages 71-91
    4. Catarina Silva, Bernardete Ribeiro
      Pages 93-115
    5. Catarina Silva, Bernardete Ribeiro
      Pages 117-128
  4. Back Matter

About this book


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.


Kernel Approach Text Classification classification computational intelligence intelligence kernel

Authors and affiliations

  1. 1.School of Technology and ManagementPolytechnic Institute of LeiriaLeiriaPortugal
  2. 2.Centre for Informatics and Systems, Department of Informatics EngineeringUniversity of Coimbra, Polo IICoimbraPortugal

Bibliographic information