Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics

ConclusionsFindings 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.
Source: Health Information and Libraries Journal - Category: Databases & Libraries Authors: Tags: ORIGINAL ARTICLE Source Type: research