Book chapter
Expanding Consumer Health Vocabularies by Learning Consumer Health Expressions from Online Health Social Media
Social Computing, Behavioral-Cultural Modeling, and Prediction, pp 314-320
17 Mar 2015
Abstract
The language gap existing between health consumers and health professionals hinders effective healthcare information retrieval and communication. To bridge this language gap, many efforts have been taken to develop the Consumer Health Vocabularies (CHVs). One crucial task in developing CHVs is extracting consumer health expressions. However, most of existing studies of consumer health expressions extraction involve heavy human efforts. In this work, we presented automatic methods based on co-occurrence analysis for extracting consumer health expressions from consumer-contributed content in social media data. The experiment results showed that our proposed methods are effective.
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13 citations in Scopus
Details
- Title
- Expanding Consumer Health Vocabularies by Learning Consumer Health Expressions from Online Health Social Media
- Creators
- Ling Jiang - Drexel UniversityChristopher C. Yang - Drexel University
- Publication Details
- Social Computing, Behavioral-Cultural Modeling, and Prediction, pp 314-320
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84925325145
- Other Identifier
- 991019174890204721