Description

Book Synopsis
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.

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

Chatbots and Text Generation

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    £158.40

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    RRP £198.00 – you save £39.60 (20%)

    Order before 4pm tomorrow for delivery by Sat 20 Jun 2026.

    A Hardback by Jovan Pehcevski

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      View other formats and editions of Chatbots and Text Generation by Jovan Pehcevski

      Publisher: Arcler Education Inc
      Publication Date: 29/02/2024
      ISBN13: 9781774699195, 978-1774699195
      ISBN10: 1774699192
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis
      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.

      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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