Inductive Inference for Large Scale Text Classification: Kernel Approaches and T
Text classification is becoming a crucial task to analysts in different areas. 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.
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