Extracting Everyday Health Interests from Online Communities.
AMIA(2012)
摘要
Increasing numbers of patients are using online communities to seek support by posting personal stories and requesting information. To leverage this trend, we investigated Natural Language Processing (NLP) tools for extracting users’ health interests from online communities. We identified relevant semantic types of the Unified Medical Language System (UMLS) for online communities. The results suggest that we can repurpose NLP tools for online communities without losing critical information.
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关键词
everyday health interests,online communities
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