FIND CATEGORY FOR ARTICLE

Analyze article and determine cultural category





Id : 2278

Author :
Kung J.Y.; Ly K.; Shiri A.

Title


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

Reference :


Kung J.Y.; Ly K.; Shiri A. Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics,Health Information and Libraries Journal

Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145570944&doi=10.1111%2fhir.12473&partnerID=40&md5=e4036b716363fd0b4932d4f1d040c715
Abstract Background: Twitter is rich in data for text and data analytics research, with the ability to capture trends. Objectives: This study examines Canadian tweets on marijuana legalization and terminology used. Presented as a case study, Twitter analytics will demonstrate the varied applications of how this kind of research method may be used to inform library practice. Methods: Twitter API was used to extract a subset of tweets using seven relevant hashtags. Using open-source programming tools, the sampled tweets were analysed between September to November 2018, identifying themes, frequently used terms, sentiment, and co-occurring hashtags. Results: More than 1,176,000 tweets were collected. The most popular hashtag co-occurrence, two hashtags appearing together, was #cannabis and #CdnPoli. There was a high variance in the sentiment analysis of all collected tweets but most scores had neutral sentiment. Discussion: The case study presents text-mining applications relevant to help make informed decisions in library practice through service analysis, quality analysis, and collection analysis. Conclusions: 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. © 2023 Health Libraries Group.



Results:


                    Category                    

             Certainity            
Heritage 0.0001
Archives 0.0002
Libraries 0.9954
Book and Press 0.0003
Visual Arts 0.0001
Performing Arts 0.0029
Audiovisual and Multimedia 0.0002
Architecture 0.0003
Adverstizing 0.0000
Art crafts 0.0002
General cultural dimension 0.0004
Note: Due to lack of computing power, results have been previously created and saved in database