Natural Language Processing for Business and Organizations: Research and Innovation
暫譯: 商業與組織的自然語言處理：研究與創新

這本書提供了一個全面且以應用為導向的人工智慧（Artificial Intelligence）和自然語言處理（Natural Language Processing, NLP）探索，涵蓋了基礎原則和現代數據驅動的方法論。它旨在使讀者深入了解智能系統如何從數據中學習、解釋人類語言，並在現實世界的情境中支持自動化決策。

《自然語言處理在商業與組織中的應用：研究與創新》涵蓋了機器學習、深度學習、文本表示、語言建模、信息提取、情感分析和基於AI的分析等關鍵領域，同時也討論了在大規模部署NLP解決方案時的系統設計考量。通過精心結構的章節，本書將理論見解與實際範例、案例研究和應用工作流程相結合，使讀者能夠將算法和模型轉化為有效的AI應用。這本書由一組學術研究者和業界實踐者撰寫，強調負責任和以價值為導向的AI，包括倫理考量、數據質量和模型評估。

本書適合高年級本科生、研究生、研究人員以及希望在學術、企業和社會領域構建、評估和應用AI和NLP系統的專業人士。

Rachit Garg is an Assistant Professor in the AI and Data Science Department at SP Jain School of Global Management, UAE. He is an experienced specialist in Artificial Intelligence and Information Technology with a strong track record across academic, research, and applied technology initiatives. His work spans core areas of Computer Science and AI, with a particular emphasis on bridging research, innovation, and real-world implementation. He holds a master's degree in Computer Science Engineering and completed his PhD with research conducted in collaboration with a multinational logistics organization. He holds patents in Artificial Intelligence and allied technologies and actively contributes to the scholarly community as a peer reviewer for reputed journals. Beyond academia, he is engaged with non-profit initiatives, reflecting a commitment to ethical, inclusive, and socially responsible use of technology. His research interests include developing impactful AI-driven systems, advancing research-led pedagogy, and fostering student-centric innovation.

Anshul Gupta is a faculty member in the Data Science Department at SP Jain School of Global Management, UAE. He is an experienced Data Scientist, consultant, and corporate trainer with a strong background in solving real-world business problems across diverse domains. His expertise includes Artificial Intelligence, Machine Learning, Business Analytics, e-commerce, and technology-enabled transformation, with a focus on driving measurable business outcomes through analytics. Dr. Gupta is actively engaged in research and scholarly service, serving as a journal reviewer and has been an invited speaker at prominent forums. He is also a lifetime member of several professional and technical societies, reflecting sustained engagement with the evolving AI and analytics community. His research interests include Artificial Intelligence, Machine Learning, and Business Analytics.

Debashis Guha is an Associate Professor and Director of the Master of Artificial Intelligence in Business (MAIB) program at SP Jain School of Global Management, Australia. He brings an interdisciplinary perspective to AI education, particularly at the intersection of analytics, decision-making, and business value creation. Dr. Guha earned his PhD from Columbia University, New York, USA, and completed an MA from Texas Christian University, Fort Worth, USA. He also holds a BTech (Honours) degree from the Indian Institute of Technology (IIT), Kharagpur, India. His professional experience spans both academia and industry, including affiliations with Columbia University, University of Texas at Dallas, Texas Christian University, Big Sky Quantitative Research LLP (India), and Alphanomics LLC (USA). His profile reflects a balance of research rigor, industry relevance, and leadership in AI program design and delivery. His research interests encompass Artificial Intelligence, Machine Learning, Marketing analytics, and Microcredit demand.

Arvind W. Kiwelekar is a Professor in the Department of Computer Engineering at Dr. Babasaheb Ambedkar Technological University (DBATU), India. With over three decades of experience in teaching and research, he has played a pivotal role in advancing engineering education, research culture, and institutional capacity building. Dr. Kiwelekar has published extensively in reputed international venues and has earned his PhD from the Indian Institute of Technology (IIT) Bombay. He has received prestigious research fellowships supported by the Indian Academy of Sciences, the Ministry of Education (Government of India), and IBM. In recognition of his long-standing dedication to teaching and mentorship, the alumni of the Department of Computer Engineering at DBATU instituted an award in his honor. His research interests include Artificial Intelligence, Blockchain Technology, ICT for Sustainable Development, Learning Analytics, Ontology Engineering, and Software Architecture.

Rajat Guglani is a Technology Lead at Infosys Limited, USA, with over 15 years of experience in the global technology industry. His expertise spans core Computer Science domains and modern enterprise technologies, including software development, cybersecurity, artificial intelligence, and cloud computing. He is recognized for combining strong engineering fundamentals with a solution-oriented mindset, enabling him to deliver scalable and impactful technology solutions. Mr. Guglani's professional approach is characterized by continuous learning, adaptability, and leadership in fast-evolving technical environments. His research interests include Artificial Intelligence, cybersecurity, and cloud computing.

Rachit Garg 是阿聯酋 SP Jain 全球管理學院人工智慧與數據科學系的助理教授。他是一位經驗豐富的人工智慧和資訊技術專家，在學術、研究和應用技術方面擁有卓越的成就。他的工作涵蓋計算機科學和人工智慧的核心領域，特別強調研究、創新與實際應用之間的橋樑。他擁有計算機科學工程的碩士學位，並在與一家跨國物流組織合作的研究中完成了博士學位。他在人工智慧及相關技術方面擁有專利，並作為知名期刊的同行評審，積極貢獻於學術界。除了學術界，他還參與非營利倡議，展現對技術的倫理、包容和社會責任使用的承諾。他的研究興趣包括開發具有影響力的人工智慧驅動系統、推進以研究為導向的教學法，以及促進以學生為中心的創新。

Anshul Gupta 是阿聯酋 SP Jain 全球管理學院數據科學系的教職員。他是一位經驗豐富的數據科學家、顧問和企業培訓師，擁有解決各種領域現實商業問題的強大背景。他的專業領域包括人工智慧、機器學習、商業分析、電子商務和技術驅動的轉型，專注於通過分析推動可衡量的商業成果。Gupta 博士積極參與研究和學術服務，擔任期刊評審，並在知名論壇擔任受邀演講者。他還是多個專業和技術協會的終身會員，反映出他與不斷發展的人工智慧和分析社群的持續參與。他的研究興趣包括人工智慧、機器學習和商業分析。

Debashis Guha 是澳大利亞 SP Jain 全球管理學院人工智慧商業碩士（MAIB）項目的副教授及主任。他為人工智慧教育帶來跨學科的視角，特別是在分析、決策和商業價值創造的交匯處。Guha 博士在美國紐約的哥倫比亞大學獲得博士學位，並在美國德克薩斯州的德克薩斯基督教大學獲得碩士學位。他還擁有印度卡拉格普爾印度理工學院（IIT）的榮譽學士學位。他的專業經驗涵蓋學術界和產業界，包括與哥倫比亞大學、德克薩斯大學達拉斯分校、德克薩斯基督教大學、大天空定量研究有限責任公司（印度）和 Alphanomics LLC（美國）的合作。他的個人資料反映出研究的嚴謹性、產業的相關性以及在人工智慧項目設計和交付中的領導力。他的研究興趣包括人工智慧、機器學習、市場分析和小額信貸需求。

Arvind W. Kiwelekar 是印度 Dr. Babasaheb Ambedkar 技術大學（DBATU）計算機工程系的教授。他在教學和研究方面擁有超過三十年的經驗，對推進工程教育、研究文化和機構能力建設發揮了關鍵作用。Kiwelekar 博士在知名國際期刊上發表了大量論文，並在印度理工學院（IIT）孟買獲得博士學位。他曾獲得印度科學院、印度政府教育部和 IBM 支持的著名研究獎學金。為了表彰他對教學和指導的長期奉獻，DBATU 計算機工程系的校友設立了一個以他名字命名的獎項。他的研究興趣包括人工智慧、區塊鏈技術、可持續發展的資訊通信技術、學習分析、本體工程和軟體架構。

Rajat Guglani 是美國 Infosys Limited 的技術負責人，擁有超過 15 年的全球技術產業經驗。他的專業領域涵蓋計算機科學的核心領域和現代企業技術，包括軟體開發、網路安全、人工智慧和雲計算。他因結合強大的工程基礎與解決方案導向的思維而受到認可，使他能夠提供可擴展且具影響力的技術解決方案。Guglani 先生的專業方法以持續學習、適應性和在快速變化的技術環境中的領導力為特徵。他的研究興趣包括人工智慧、網路安全和雲計算。