Real-Time Sentiment Dynamics in Human-AI Conversational Agents
This research examines how sentiment and emotional valence evolve dynamically throughout extended human-AI dialogues and what triggers affective shifts. The scientific insight generated reveals feedback loops between user emotional expression and AI response strategies, leading to computational models of emotional scaffolding and empathetic dialogue design.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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