Textual Document Pre-processing And Feature
Extraction In OLEX
Author(s)
R. Curia, M. Ettorre, L. Gallucci, S. Iiritano & P. Rullo
Abstract
KnowledgeDiscovery in Text (KDT) has emerged as a challenging application due
to the large amount of textual documents available from heterogeneous sources.
OLEX is a KDT system for text classification developed at Exeura.
A critical step of a KDT process is the pre-processing phase, consisting of a
number of complex tasks aimed at making documents \“machine readable”. This
paper describes the OLEX Pre-processing Module (OPM), an advanced software
based on a general framework supporting the extraction from texts of linguistic,
syntactic and structural relevant features. A main aspect of OPM is its capability
to provide support for parallel text annotation.
1 Introduction
Managing the huge amount of textual documents available on the web and on the
intranets has become an important problem of Knowledge Management. Thus,
techniques and tools for text categorization are needed [1].
Textual document collections can be seen as sources of unstructured data for
which knowledge mining can be made by using Knowledge Discovery in Text
(KDT) [2], an interactive and iterative process based on four phases:
• Document Acquisition
• Document Pre-Processing
• Text Mining
• Result Interpretation
Keywords
Related Book
Other papers in this volume
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