Semantically-driven explanatory text mining: Beyond keywords

John Atkinson-Abutridy

doi:10.1007/978-3-540-30498-2_28

Semantically-driven explanatory text mining: Beyond keywords

John Atkinson-Abutridy

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, a new explanatory and high-level approach to knowledge discovery from texts is described which uses natural language techniques and and evolutionary computation based optimization to find novel patterns in textual information. In addition, some results showing the promise of the approach towards effective text mining when compared to human performance are briefly discussed.

Original language	English
Pages (from-to)	275-285
Number of pages	11
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3315
DOIs	https://doi.org/10.1007/978-3-540-30498-2_28
State	Published - 2004
Externally published	Yes
Event	9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004 - Puebla, Mexico Duration: 22 Nov 2004 → 26 Nov 2004

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10.1007/978-3-540-30498-2_28

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title = "Semantically-driven explanatory text mining: Beyond keywords",

abstract = "In this paper, a new explanatory and high-level approach to knowledge discovery from texts is described which uses natural language techniques and and evolutionary computation based optimization to find novel patterns in textual information. In addition, some results showing the promise of the approach towards effective text mining when compared to human performance are briefly discussed.",

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year = "2004",

doi = "10.1007/978-3-540-30498-2_28",

language = "English",

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AB - In this paper, a new explanatory and high-level approach to knowledge discovery from texts is described which uses natural language techniques and and evolutionary computation based optimization to find novel patterns in textual information. In addition, some results showing the promise of the approach towards effective text mining when compared to human performance are briefly discussed.

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DO - 10.1007/978-3-540-30498-2_28

M3 - Conference article

AN - SCOPUS:22944453072

SN - 0302-9743

VL - 3315

SP - 275

EP - 285

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y2 - 22 November 2004 through 26 November 2004

ER -

Semantically-driven explanatory text mining: Beyond keywords

Abstract

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