Pamnani, ArikArikPamnaniGoel, RajatRajatGoelChoudhari, JayeshJayeshChoudhariSingh, MayankMayankSingh2025-08-312025-08-312019-01-01[9781950737062]2-s2.0-85118580351https://d8.irins.org/handle/IITG2025/25722Recent advancements in Internet and Mobile infrastructure have resulted in the development of faster and efficient platforms of communication. These platforms include speech, facial and text-based conversational mediums. Majority of these are text-based messaging platforms. Development of Chatbots that automatically understand latent emotions in the textual message is a challenging task. In this paper, we present an automatic emotion detection system that aims to detect the emotion of a person textually conversing with a chatbot. We explore deep learning techniques such as CNN and LSTM based neural networks and outperformed the baseline score by 14%. The trained model and code are kept in public domain.falseConference Paper236-24020192cpConference Proceeding