Abstract
In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. These systems, also recognized as chatbots, interactive conversational agents, or dialog systems, have broad applications, including technical support services, language entertainment, and learning. The emergence of deep neural networks has surged research efforts aimed at building data-driven dialog models. In this study, a novel approach is introduced that incorporates emotions extracted from various sources to design a smart and interactive chatbot.
| Original language | English |
|---|---|
| Title of host publication | 8th International Engineering Conference on Renewable Energy and Sustainability, ieCRES 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350300758 |
| DOIs | |
| State | Published - 2023 |
| Event | 8th International Engineering Conference on Renewable Energy and Sustainability, ieCRES 2023 - Gaza, Palestine, State of Duration: 8 May 2023 → 9 May 2023 |
Publication series
| Name | 8th International Engineering Conference on Renewable Energy and Sustainability, ieCRES 2023 |
|---|
Conference
| Conference | 8th International Engineering Conference on Renewable Energy and Sustainability, ieCRES 2023 |
|---|---|
| Country/Territory | Palestine, State of |
| City | Gaza |
| Period | 8/05/23 → 9/05/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- behavioral interaction
- chatbots
- emotions
- human-computer interaction
- neural networks
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Modeling and Simulation
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