Machine Intelligence for Health Information: Capturing Concepts & Trends in Social Media via Query Expansion
Su, Xing yu; Suominen, Hanna; Hanlen, Leif
Introduction. We aim to improve retrieval of health information from Twitter. Background. The popularity of social media and micro-blogs has emphasised their potential for knowledge discovery and trend building. However, capturing and relating concepts in these short-spoken and lexically extensive sources of information requires search engines with increasing intelligence. Methods. Our approach uses query expansion techniques to associate query terms with the most similar Twitter terms to...[Show more]
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