An overview of the literature on assistance dogs using text mining and topic analysis

Front Vet Sci. 2024 Dec 11:11:1463332. doi: 10.3389/fvets.2024.1463332. eCollection 2024.

Abstract

It is said that dogs are human's best friend. On occasion, dogs can be raised and trained to provide additional specific benefits to humans suffering from a range of physical or mental conditions, working as assistance dogs. In this article, we employed innovative techniques to review the vast and constantly expanding literature on the subject, which covers a multitude of aspects. The 450 articles obtained through keyword search on Scopus were initially described in terms of year of publication, geographical context and publication destination, and were subsequently analysed through automated text mining to detect the most important words contained within them. Lastly, a generative model of topic analysis (Latent Dirichlet Allocation-LDA) described the content of the collection of documents, dividing it into the appropriate number of topics. The results yielded interesting insights across all domains, demonstrating the potential of automated text mining and topic analysis as a useful tool to support the researchers in dealing with complex and time-consuming subjects' reviews, integrating the work done with traditional reviewing methods.

Keywords: Latent Dirichlet Allocation; assistance dogs; generative model; service dogs; text mining; topic analysis.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. We thank the Italian Ministry of Health for the financial support according to the Law n. 205 of 27 December 2017 and Tuscany Region (Decree n. 26609/23).