Detecting causality from online psychiatric texts using inter-sentential language patterns

Detecting causality from online psychiatric texts using inter-sentential language patterns

<p>Abstract</p> <p>Background</p> <p>Online psychiatric texts are natural language texts expressing depressive problems, published by Internet users via community-based web services such as web forums, message boards and blogs. Understanding the cause-effect relations e...

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Bibliographic Details
Main Authors: Wu Jheng-Long, Yu Liang-Chih, Chang Pei-Chann
Format: Article
Language:English
Published: BMC 2012-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Causality detection
Inter-sentential language patterns
Biomedical text mining
Natural language processing
Online Access:http://www.biomedcentral.com/1472-6947/12/72

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http://www.biomedcentral.com/1472-6947/12/72

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