Authors :
Somnath Bapu Raut; Ranveer Ranjeet Deshmukh; Atharv Sanjay Kakade; Shantanu Mangesh Shinde; Sanket Manoj Jadhav
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/mryhcnyu
Scribd :
https://tinyurl.com/56cw8ckm
DOI :
https://doi.org/10.38124/ijisrt/25oct1544
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Emomate AI is an emotion-aware conversational system designed to make human-AI interactions more natural
and empathetic. Using Natural Language Processing (NLP) and emotion recognition algorithms, the system detects the
user's emotional tone and generates contextually appropriate responses. The goal is to create a chatbot that not only
understands text but also understands human feelings, improving user engagement in areas such as education, therapy,
and entertainment.
References :
- Poria, S., Cambria, E., & Gelbukh, A. (2016). Deep Convolutional Neural Network Text Representation and Multiple Kernel Learning for Emotion Recognition.
- Devlin, J., et al. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
- Hochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780.
- Hazarika, D., et al. (2018). ICON: Interactive Conversational Memory Network for Multimodal Emotion Recognition.
- Ekman, P. (1992). An argument for basic emotions. Cognition & Emotion, 6(3-4), 169–200.
- Sahu, S. K., & Anand, A. (2020). Emotion-Aware Dialogue Generation Using Reinforcement Learning.
- Zhang, S., et al. (2020). Chatbots with Empathy: Combining Emotion and Context in Conversational AI.
Emomate AI is an emotion-aware conversational system designed to make human-AI interactions more natural
and empathetic. Using Natural Language Processing (NLP) and emotion recognition algorithms, the system detects the
user's emotional tone and generates contextually appropriate responses. The goal is to create a chatbot that not only
understands text but also understands human feelings, improving user engagement in areas such as education, therapy,
and entertainment.