Natural Language Processing is a comprehensive guide designed for undergraduate students, academicians, industry professionals, and researchers in computer science, information technology, and artificial intelligence. It provides a thorough understanding of NLP techniques and insights into the rapidly evolving landscape of language technology.
The book begins by laying the groundwork in Machine Learning (ML) and Deep Learning (DL), introducing key NLP applications and obstacles such as Word Sense Disambiguation. Readers will learn to configure crucial software like NLTK, Anaconda, and Jupyter Notebooks, preparing them for practical exercises. Advanced NLP concepts are covered, including Regular Expressions, TF-IDF, Word2Vec, and Named Entity Recognition (NER), alongside concrete implementations of Sentiment Analysis and Topic Modeling. The text thoroughly examines RNNs, LSTMs, and state-of the-art Transformer-based models like BERT and GPT-3, providing step-by-step guidance on finetuning these models for specific tasks. Topics like ethical implications in NLP, particularly AI model bias, emphasizing responsible AI deployment have been covered in detail. The book concludes with real-world case studies and a comprehensive section on interview questions, equipping readers with the knowledge and skills to thrive in this field.
Prof. Sini Raj Pulari, with 17 years of experience in reputed Indian universities and industry, currently serves at Bahrain Polytechnic in the Kingdom of Bahrain. She specializes in Computer Science Engineering, contributing to teaching, research, and professional activities. Her research interests focus on Natural Language Processing, Recommender Systems, Information Retrieval, Deep Learning, and Machine Learning. Prof. Sini has authored over 30 publications, including the books Deep Learning: A Comprehensive Guide and Machine Learning using Intel oneAPI (CRC Press). She is currently pursuing her Ph.D. in Natural Language Processing at Vignan’s Foundation for Science, Technology and Research (Deemed to be University).
Dr Umadevi Maramreddy is an Associate Professor in the Department of Computer Science and Engineering at Vignan’s Foundation for Science, Technology and Research, Guntur, Andhra Pradesh. She earned her PhD in Computer Science from the University of Hyderabad in 2011, specializing in Document Forensics. With 19 years of experience, including 4 years in research and 15 years in teaching, Dr Umadevi has previously served as Head of the CSE Department in various engineering colleges.
Dr Shriram K. Vasudevan has over 18 years of combined experience in industry and academia. He holds a Doctorate in Embedded Systems and has authored or co-authored 46 books for renowned publishers such as Oxford University Press, Taylor and Francis, and Wiley. With 14 patents granted to his name, Dr Shriram is a prolific innovator and researcher, having published over 150 research articles. An avid hackathon enthusiast, Dr Shriram has received awards from prestigious institutions and organizations including Harvard University, AICTE, CII, Google, TDRA Dubai, the Government of Saudi Arabia, and the Government of India.
