AI-Assisted Emotional Tagging in Social Sciences Libraries: Enhancing Empathetic Information Access

AI-Assisted Emotional Tagging in Social Sciences Libraries: Enhancing Empathetic Information Access by Ashutosh Kumar SURAJ (Chandauli, India) In today’s rapidly evolving information landscape, libraries are no longer just repositories of knowledge; they are empathetic spaces that cater to the diverse needs of users. Social Sciences libraries, dealing with sensitive topics such as gender inequality, domestic violence, and mental health, face a challenge in categorizing content in a way that acknowledges its emotional impact on readers. Traditional classification systems focus on academic relevance but overlook the emotional sensitivity required for such topics. This presentation proposes an innovative solution: the integration of AI-assisted emotional tagging in Social Sciences libraries. By applying AI tools like sentiment analysis and contextual emotion recognition, library content can be tagged with emotional labels such as “empathetic,” “neutral,” or “potentially distressing.” This system will allow users to filter materials based on their emotional comfort, empowering them to engage with sensitive content according to their mental and emotional readiness. The presentation will explore the methodology behind developing such a system, including dataset curation, AI training, and the incorporation of user profiles for personalized suggestions. Key innovations like AI-generated content warnings and librarian training for emotional intelligence will also be discussed.