A DATA-DRIVEN APPROACH FOR ANALYZING USER ENGAGEMENT PATTERNS IN CHATBOT INTERACTIONS

International Research Journal of Modernization in Engineering Technology and Science 2026 Open access

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DOI: 10.56726/irjmets83685
Cited by: 0

Abstract

This study presents a data-driven analysis of user engagement patterns in chatbot interactions.By examining metrics such as session duration, response time, and sentiment, we identify key factors influencing user engagement.Our findings suggest that contextual responses and positive sentiment significantly enhance user interaction.This research provides actionable insights for optimizing chatbot performance and user satisfaction.

Fields of Study & Subjects

AI in Service Interactions Speech and dialogue systems Digital Marketing and Social Media

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
11 March 2026
Language
EN