Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics.
Janice Yu Chen KungKynan LyAli ShiriPublished in: Health information and libraries journal (2023)
Findings from sentiment analysis may determine usage patterns from users. There are several ways in which libraries may use text mining to make evidence-informed decisions such as examining all possible terminologies used by the public to help inform comprehensive evidence synthesis projects and build taxonomies for digital libraries and repositories.