The use of social media platforms has become choice for individuals searching for health-related information on the web. In this study, we consider news aggregation and discussion internet forum, reddit, for its unique characteristics. Correspondence analysis is employed as a dimensionality reduction and knowledge representation technique for the text analytics of reddit posts. We present a case study of comments and posts for information retrieval, creating visual representations of interrelated groups of words and topics. These representations may be used for smart navigation systems, promoting discussion, transparency, and support pertaining to social determinants and healthcare among users on social media platforms and within online communities.
Dimensionality Reduction and Text Mining for Smart Content Filtering of an Online Health Forum
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