Full Description
This book discusses the challenges in analyzing social media texts in contrast with traditional documents. The authors review the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts. The book explains how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The authors also cover the existing evaluation metrics for NLP and social media applications along with the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. This new edition includes discussion on the use of recent large language models (LLMs) and systems, such as ChapGPT, in the context of social media. The authors also elaborate on the ethics of AI and responsible AI in implemented algorithms and various applications.
