Evolving explanatory novel patterns for semantically-based text mining

John Atkinson

doi:10.1007/978-1-84628-754-1_9

Evolving explanatory novel patterns for semantically-based text mining

John Atkinson

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

An important problem with mining textual information is that in this unstructured form is not readily accessible to be used by computers. This has been written for human readers and requires, when feasible, some natural language interpretation. Although full processing is still out of reach with current technology, there are tools using basic pattern recognition techniques and heuristics that are capable of extracting valuable information from free text based on the elements contained in it (i.e., keywords). This technology is usually referred to as Text Mining, and aims at discovering unseen and interesting patterns in textual databases [8], [19].

Original language	English
Title of host publication	Natural Language Processing and Text Mining
Publisher	Springer London
Pages	145-169
Number of pages	25
ISBN (Print)	184628175X, 9781846281754
DOIs	https://doi.org/10.1007/978-1-84628-754-1_9
State	Published - 2007
Externally published	Yes

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Evolving explanatory novel patterns for semantically-based text mining

Abstract

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