Semantically-driven explanatory text mining: Beyond keywords

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Pages (from-to)275-285
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
StatePublished - 2004
Externally publishedYes
Event9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004 - Puebla, Mexico
Duration: 22 Nov 200426 Nov 2004


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