  Despite the high consumption of dietary supplements (DS), there are not many
reliable, relevant, and comprehensive online resources that could satisfy
information seekers. The purpose of this research study is to understand
consumers' information needs on DS using topic modeling and to evaluate its
accuracy in correctly identifying topics from social media. We retrieved 16,095
unique questions posted on Yahoo! Answers relating to 438 unique DS ingredients
mentioned in sub-section, "Alternative medicine" under the section, "Health".
We implemented an unsupervised topic modeling method, Correlation Explanation
(CorEx) to unveil the various topics consumers are most interested in. We
manually reviewed the keywords of all the 200 topics generated by CorEx and
assigned them to 38 health-related categories, corresponding to 12 higher-level
groups. We found high accuracy (90-100%) in identifying questions that
correctly align with the selected topics. The results could be used to guide us
to generate a more comprehensive and structured DS resource based on consumers'
information needs.
