Overview

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.

Full Product Details

Author:   Jovan Pehcevski
Publisher:   Arcler Press
Imprint:   Arcler Press
Weight:   0.415kg
ISBN:  

9781774699195

ISBN 10:   1774699192
Pages:   488
Publication Date:   31 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Section 1 Chatbot Functioning Chapter 1 Development of an E-Commerce Chatbot for a University Shopping Mall Chapter 2 Factors Affecting Consumers Adoption of AI-Based Chatbots: The Role of Anthropomorphism Chapter 3 A Novel Framework for Arabic Dialect Chatbot Using Machine Learning Chapter 4 Framework for Educational Domain-Based Multichatbot Communication System Chapter 5 Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics Section 2 Chatbot Functioning Chapter 6 A Multi-Industry Analysis of the Future Use of AI Chatbots Chapter 7 Vik: A Chatbot to Support Patients with Chronic Diseases Chapter 8 A Smart Chatbot for Interactive Management in Beta Thalassemia Patients Chapter 9 Multi-Chatbot or Single-Chatbot? The Effects of M-Commerce Chatbot Interface on Source Credibility, Social Presence, Trust, and Purchase Intention Chapter 10 Development of NLP-Integrated Intelligent Web System for E-Mental Health Section 3 Implementing Text Generation Chapter 11 Enhancing Text Generation Via Parse Tree Embedding Chapter 12 Research and Implementation of Text Generation Based on Text Augmentation and Knowledge Understanding Chapter 13 An Integrated Deep Generative Model for Text Classification and Generation Chapter 14 Rapid Text Retrieval and Analysis Supporting Latent Dirichlet Allocation Based on Probabilistic ModelsSection 4 Text Generation Applications Chapter 15 The Automatic Question Generation System for CET Chapter 16 Exploration of Cross-Modal Text Generation Methods in Smart Justice Chapter 17 Feature Extraction and Intelligent Text Generation of Digital Music

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Author Information

Jovan Pehcevski obtained his PhD in Computer Science from RMIT University in Melbourne, Australia in 2007. His research interests include modern data center technologies (XaaS), big data, machine learning and artificial intelligence, and information retrieval. He has published over 30 journal and conference papers and he also serves as a journal and conference reviewer. Jovan has extensive academic and research experience, coupled with practical expertise in the IT industry. He is currently working as a Senior Technology Consultant at Dell Technologies, covering South Eastern Europe.

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