… We employed thematic content analysis to explore the topics of public discussion on
medical AI. The results showed that such contents fall into three major categories, including 10 …

… how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content
analysis … relative to manual and computer-aided (non-AI) approaches to content analysis. …

… Content analysis of text-based sources can be either … We first used qualitative content analysis
to identify the different topics (“… described the domains identified through content analysis. …

… coders both in the coding stage and the data-analysis stage of content analysis. As an
example the program CETA to perform Computer-aided Evaluative Textual Analysis is discussed. …

… coupling and co-occurrence analysis of keywords out of other … analysis, we additionally
conducted a content analysis of nine clusters that were identified in our co-occurrence analysis of …

… We developed a dream content analysis system (DCAS) based on an artificial intelligence
(AI) algorithm that was trained using a relatively large corpus of over 35,000 dreams. This …

… to discover the thematic content of research on sustainable AI in … analysis of the retrieved
topics using content analysis as a … analyses through the use of topic-based content analysis. …

… advancements, generative artificial intelligence (GAI) … framework, presents a comprehensive
analysis of GAI in education, … This study begins with a content analysis that explores GAI’s …

… technique of content analysis appears to be on the verge of a renaissance. Content analysis …
In this essay, I discuss modern examples of content analysis studies that draw on each of …

… Artificial intelligence (AI) and blockchain are the two disruptive … Using bibliometric analysis,
this study reveals the most … Using content analysis, this study sheds light on the subject’s …