This session applies a semantically grounded topic modeling approach, Latent Dirichlet Allocation (LDA), to Journal of Counseling & Development (JCD) abstracts (2016–2025) to uncover distinct thematic topics and research trends. Attendees will gain insights into shifting professional priorities and learn how computational text analysis maps the field's current state and gaps. This enables the strategic positioning of future investigations toward under-examined areas in counseling research.
