Machine Learning and Deep Learning in Natural Language Processing

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content - like emotions, but also satirical expressions - and applications in the healthcare field.

NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson's disease, or help psychotherapists.

This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.

自然語言處理（Natural Language Processing，NLP）是人工智慧、語言學和計算機科學的一個子領域，關注人類語言（包括書面和口語）的生成、識別和理解。NLP系統會檢查句子的語法結構以及詞語的具體含義，然後利用算法提取含義並產生結果。《自然語言處理中的機器學習和深度學習》旨在回顧當前NLP領域中的神經網絡技術，特別是關於對話代理（聊天機器人）、文本轉語音、非字面內容管理（如情感和諷刺表達）以及在醫療領域的應用。

NLP在各個醫療領域具有顛覆性技術的潛力，但目前對此目標的關注還很少。本書旨在提供一些NLP技術的示例，例如恢復語音、檢測帕金森病或幫助心理治療師。

本書面向廣泛的讀者群體。初學者可以在提供NLP技術概述的章節中找到有用的內容，而經驗豐富的專業人士則會喜歡關於情感、共情和非字面內容的高級管理章節。

Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan Institute of Technology and Science, India. She obtained a Ph. D. in the area of Natural Language Processing and has 3 decades of teaching and research experience. She has authored / co-authored several papers in national and international conferences/ journals. She is also the Co-founder of AtINeu - Artificial Intelligence in Neurology focusing on the applications of AI in neurological disorders.

Roberto Tedesco earned a Ph. D. in Computer Science, in 2006 at Politecnico di Milano (Italy), where he was contract professor for the Natural Language Processing (NLP) and the Accessibility courses. He is now researcher at the Scuola universitaria professionale della Svizzera italiana (SUPSI), in Lugano (Switzerland). His research interests are NLP, assistive technologies, and HCI.

Anitha S. Pillai是印度Hindustan Institute of Technology and Science的計算機科學學院教授。她在自然語言處理領域獲得了博士學位，並擁有三十年的教學和研究經驗。她在國內外會議和期刊上撰寫/合著了多篇論文。她還是AtINeu - Artificial Intelligence in Neurology的聯合創始人，該組織專注於人工智能在神經疾病中的應用。

Roberto Tedesco於2006年在意大利米蘭理工大學獲得計算機科學博士學位，並在該校擔任自然語言處理（NLP）和可訪問性課程的合同教授。他現在是瑞士盧加諾的Scuola universitaria professionale della Svizzera italiana（SUPSI）的研究員。他的研究興趣包括NLP、輔助技術和人機交互。