| Titre : | Chatbots and text generation |
| Auteurs : | Jovan Pavlevski, Auteur |
| Type de document : | document électronique |
| Editeur : | Burlington [Canada] : Arcler Press, 2024 |
| ISBN/ISSN/EAN : | 978-1-77469-919-5 |
| Format : | 1 vol. (488 p.) / ill. en coul.;couv. ill. en coul. |
| Langues: | Français |
| Index. décimale : | 006.3 (Intelligence artificielle) |
| Catégories : |
Ouvrages > Généralités (ouvrages généraux), information, informatique > Informatique |
| Mots-clés: | Chatbots |
| Résumé : |
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. |
| Note de contenu : |
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. |
| Côte titre : |
EB/92 |
Exemplaires (1)
| Cote | Support | Localisation | Disponibilité |
|---|---|---|---|
| EB/92 | Ebook | Bibliothèque centrale | Disponible |
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