AI RESEARCH

Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming

arXiv CS.AI

ArXi:2509.16835v2 Announce Type: replace-cross Virtual brainstorming sessions have become a central component of collaborative problem solving, yet the large volume and uneven distribution of ideas often make it difficult to extract valuable insights efficiently. Manual coding of ideas is time-consuming and subjective, underscoring the need for automated approaches to the evaluation of group creativity.