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. 2009 Jul;5(7):e1000411.

doi: 10.1371/journal.pcbi.1000411. Epub 2009 Jul 31.

Getting started in text mining: part two

Andrey Rzhetsky¹, Michael Seringhaus, Mark B Gerstein

Affiliations

PMID: 19649304
PMCID: PMC2709911
DOI: 10.1371/journal.pcbi.1000411

Getting started in text mining: part two

Andrey Rzhetsky et al. PLoS Comput Biol. 2009 Jul.

. 2009 Jul;5(7):e1000411.

doi: 10.1371/journal.pcbi.1000411. Epub 2009 Jul 31.

Authors

Andrey Rzhetsky¹, Michael Seringhaus, Mark B Gerstein

Affiliation

¹ University of Chicago, Chicago, Illinois, United States of America.

PMID: 19649304
PMCID: PMC2709911
DOI: 10.1371/journal.pcbi.1000411

No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1. Major techniques and applications of text mining.
It is common to divide the task of text mining into information retrieval, named-entity recognition, and information extraction. Extracted information can be further used for building systems for answering questions, fusing experimental data with literature-derived information, implementing computational creativity (discovering esoteric connections between facts, matching solutions in one field with open problems in another one, capturing cliques of internally consistent observations that are inconsistent across cliques), and analysis of large-scale dynamics of scientific fields.

See this image and copyright information in PMC

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