Communication Research in the Big Data Era The Application of Machine Learning Models and AI Techniques in Communication Research
Produktdetaljer
Biografisk notat
Xiaoqun Zhang is associate professor in the Mayborn School of Journalism at University of North Texas.The first comprehensive guide bridging communication research and artificial intelligence, Zhang's work demystifies big data, machine learning, and AI for communication scholars. Through accessible explanations and practical case studies, this book equips researchers with the essential knowledge to leverage state-of-the-art language models and computational tools, even without extensive technical backgrounds. Zhang demonstrates how to apply these emerging technologies to analyze vast datasets from social media and digital platforms—a critical skill as communication research evolves in the big data era. With detailed Python code examples and clear guidance on accessing computational resources, this book is an indispensable resource for communication scholars aiming to stay competitive in an AI-driven research landscape.
Ryan Boettger, Professor of Technical Communication, University of North Texas, USA
Chapter 1. Big Data, Machine Learning, Artificial Intelligence and Communication Studies: An Introduction
Chapter 2. Fundamental Concepts, Theories, Models in Big Data, ML, and AI
Chapter 3. Natural Language Processing and ML/AI Models
Chapter 4. Big Data, ML, and AI in Communication Studies: A Bibliometric Analysis.
Chapter 5. The Application of ML/AI Models in Communication Research: Two Case Studies.
Chapter 6. Remain Competitive in Communication Research in the Big Data Era.