چت‌بات‌ها و تولید متن

Chatbots such as ChatGPT are based on language models developed by using AI techniques. They are based on the Generative Pre-training Transformer (GPT) architecture and are trained on a huge amount of text data. This book edition covers different topics from chatbots and text generation, including: chatbots functioning, chatbot applications, implementation of text generation models and text generation applications. Cover HalfTitle Page Title Page Copyright Declaration About the Editor Table of Contents List of Contributors List of Abbreviations Preface Section 1: Chatbot Functioning Chapter 1: Development of an E-Commerce Chatbot for a University Shopping Mall Abstract Introduction Literature Review System Design Construction, Testing, and Results Conclusion Acknowledgments References Chapter 2: Factors Affecting Consumers Adoption of AI-Based Chatbots: The Role of Anthropomorphism Abstract Introduction Literature Review and Hypotheses Development Research Methodology Data Analysis and Results Discussion and Conclusion Limitations and Directions for Future Studies Conflicts of Interest References Chapter 3: A Novel Framework for Arabic Dialect Chatbot Using Machine Learning Abstract Introduction Background The Proposed Methodology Experimental Results Evaluation Performance Measures Conclusions Acknowledgments References Chapter 4: Framework for Educational Domain-Based Multichatbot Communication System Abstract Introduction Related Work Proposed Framework Results and Discussion System Evaluation Conclusion Future Work References Chapter 5: Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Ext Abstract Introduction Literature Review Patent-based Ontology Construction Patent Macro Trend Analysis Technology Function Matrix Discussion Conclusion Acknowledgments References Section 2: Chatbot Functioning Chapter 6: A Multi-Industry Analysis of the Future Use of AI Chatbots Abstract A Multi-industry Analysis of the Future Use of AI Chatbots Method Results Hierarchical Regressions Discussion Conclusion Acknowledgments References Chapter 7: Vik: A Chatbot to Support Patients with Chronic Diseases Abstract Introduction Method Results Conclusions References Chapter 8: A Smart Chatbot for Interactive Management in Beta Thalassemia Patients Abstract Introduction Methods Results Discussion Conclusion Acknowledgments References Chapter 9: Multi-Chatbot or Single-Chatbot? The Effects of M-Commerce Chatbot Interface on Source Credibility, Social Presence, Trust, and Purchase Intention Abstract Introduction Literature Review Methodology Discussion Design and Managerial Implications Limitations and Recommendations for Future Research Acknowledgments References Chapter 10: Development of NLP-Integrated Intelligent Web System for E-Mental Health Abstract Introduction Methods and Materials System Modules Results And Analysis Conclusion Acknowledgments References Section 3: Implementing Text Generation Chapter 11: Enhancing Text Generation Via Parse Tree Embedding Abstract Introduction Related Work Parse Tree Embedding Vae Experiment Conclusion Acknowledgments References Chapter 12: Research and Implementation of Text Generation Based on Text Augmentation and Knowledge Understanding Abstract Introduction Related Work Our Scheme Experiments Eda Performance Analysis Conclusion Acknowledgments References Chapter 13: An Integrated Deep Generative Model for Text Classification and Generation Abstract Introduction Review of Vae Recurrent Neural Network Details of the Model Related Works Experiments Conclusion Acknowledgments References Chapter 14: Rapid Text Retrieval and Analysis Supporting Latent Dirichlet Allocation Based on Probabilistic Models Abstract Introduction Related Works Methodology Result and Discussion Conclusion References Section 4: Text Generation Applications Chapter 15: The Automatic Question Generation System for CET Abstract Introduction Design of Automatic Generation System of English Reading Questions The Application of Automatic Generation System of Reading Questions Conclusion References Chapter 16: Exploration of Cross-Modal Text Generation Methods in Smart Justice Abstract Introduction Automatic Text Generation Application of Text Generation in Smart Justice Challenges of Text Generation in Smart Justice Conclusion References Chapter :17 Feature Extraction and Intelligent Text Generation of Digital Music Abstract Introduction Characteristics of Digital Music Music Feature Extraction Based on Deep Learning Intelligent Text Generation Based on Feature Extraction Test And Results Conclusion References Index Back Cover