FACTA+ (Finding Associated Concepts with Text Analysis) is an advanced text mining tool that helps you discover associations between biomedical concepts from MEDLINE articles. The whole MEDLINE corpus containing more than 20 million articles is indexed with an efficient text search engine, and it allows you to navigate such associations and their textual evidence in a highly interactive manner — the system accepts arbitrary query terms and displays relevant concepts immediately. A broad range of important biomedical concepts are covered by the combination of a machine learning-based term recognizer and large-scale dictionaries for genes, proteins, diseases, and chemical compounds.
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Yoshimasa Tsuruoka, Jun’ichi Tsujii, and Sophia Ananiadou. 2008.
FACTA: a text search engine for finding associated biomedical concepts,
Bioinformatics, Vol. 24, No. 21, pp. 2559-2560.
Yoshimasa Tsuruoka, Makoto Miwa, Kaisei Hamamoto, Jun’ichi Tsujii, and Sophia Ananiadou. 2011.
Discovering and visualizing indirect associations between biomedical concepts,
Bioinformatics, Vol. 27 ISMB 2011, pp. i111-i119.