Text Knowledge Mining: An Alternative to Text Data Mining

D. Sánchez, M. Martín-Bautista, Ignacio J. Blanco, Consuelo Justicia de la Torre
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引用次数: 46

Abstract

In this paper we introduced an alternative view of text mining and we review several alternative views proposed by different authors. We propose a classification of text mining techniques into two main groups: techniques based on inductive inference, that we call text data mining (TDM, comprising most of the existing proposals in the literature), and techniques based on deductive or abductive inference, that we call text knowledge mining (TKM). To our knowledge, the TKM view of text mining is new though, as we shall show, several existing techniques could be considered in this group. We discuss about the possibilities and challenges of TKM techniques. We also discuss about the application of existing theories in possible future research in this field.
文本知识挖掘:文本数据挖掘的替代方案
本文介绍了文本挖掘的另一种观点,并回顾了不同作者提出的几种替代观点。我们将文本挖掘技术分为两大类:基于归纳推理的技术,我们称之为文本数据挖掘(TDM,包括文献中大多数现有的建议),以及基于演绎或溯因推理的技术,我们称之为文本知识挖掘(TKM)。据我们所知,文本挖掘的TKM观点是新的,正如我们将展示的,在这个组中可以考虑几种现有的技术。我们讨论了TKM技术的可能性和挑战。讨论了现有理论在未来研究中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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