Statistical machine learning methods applied in the study of web accessibility: a literature review

Abstract

An accessible website refers to the fact that any person, especially those with physical disabilities, can access the content of the website without problems. The objective of this research is the analysis through literature reviews of machine learning methods applied to the study of accessibility in the web portals of Decentralized Autonomous Governments. In addition, a systematic literature review methodology was used to review more than twenty scientific articles related to keywords such as web accessibility, statistics, and machine learning, among others. In the results obtained, several techniques stand out, especially those of unsupervised learning, since their usefulness was observed in several investigations, improving the analysis and understanding of the data. This research has shown that exciting work can be done on web accessibility in institutions, considering that these studies would significantly contribute to improving access to content.