描述
Exploring the intricate world of human language, this work delves into the complexities of Natural Language Understanding (NLU). Erik Cambria guides readers through the foundational concepts that underpin how machines interpret and process human language, providing insights into the technology driving communication in the digital age.
The book addresses the multifaceted challenges that arise in language comprehension, including context, semantics, and sentiment. It emphasizes the role of artificial intelligence and machine learning in enhancing the capabilities of NLU, helping to bridge the gap between human interactions and machine responses.
Readers will appreciate the blend of theory and practical applications presented throughout, making the content accessible to both novices and experienced practitioners. The author’s expertise sheds light on how advancements in NLU can transform various fields, from customer service to content creation, ultimately redefining how we interact with technology.
The book addresses the multifaceted challenges that arise in language comprehension, including context, semantics, and sentiment. It emphasizes the role of artificial intelligence and machine learning in enhancing the capabilities of NLU, helping to bridge the gap between human interactions and machine responses.
Readers will appreciate the blend of theory and practical applications presented throughout, making the content accessible to both novices and experienced practitioners. The author’s expertise sheds light on how advancements in NLU can transform various fields, from customer service to content creation, ultimately redefining how we interact with technology.
书籍详情
格式
精装书
页数
518 页
语言
英语
已发布
10月 23, 2024
出版商
Springer
ISBN-10
3031739736
ISBN-13
9783031739736