“Introduction to Natural Language Processing: A practical guide for beginners” is a book that provides an overview of the field of natural language processing (NLP) and its applications. It is intended for individuals with little to no experience in the area. It aims to provide a comprehensive introduction to the concepts and techniques used in NLP. The book is aimed at beginners and offers a practical guide for understanding and working with NLP techniques. It covers NLP fundamental concepts and methods, such as tokenization, stemming, lemmatization, and part-of-speech tagging. It also discusses more advanced topics such as sentiment analysis, text generation, and machine translation. The book uses Python programming language and provides examples to help readers practice and apply the concepts they learn. The book also includes real-world case studies using NLP to solve real-world problems.

The book is written clearly and concisely, making it easy for beginners to understand. It provides a good foundation for those interested in pursuing a career in NLP or related fields such as machine learning, artificial intelligence, or data science. It is also helpful for professionals who want to understand NLP and its applications in their areas.

Overall, “Introduction to Natural Language Processing: A practical guide for beginners” is an excellent resource for anyone interested in learning about NLP. Whether you are a student, researcher, or professional, this book provides a comprehensive introduction to the field of NLP. It will help you understand and apply the concepts and techniques of this exciting field.

About the Author: Sakil Ansari is a data scientist who works in various fields of Artificial Intelligence. Ansari completed his undergraduate studies at Jawaharlal Nehru Technological University Hyderabad in Computer Science and Engineering. He earned a master's degree from JNTUH in Machine Learning. He has also worked as a research scholar at Indian Institute of Technology Madras (IITM), where he worked on Speaker Diarization.

He has also been involved in research at Indian Institute of Science (IISc) Bangalore. He has published eleven research papers published in International Journals to date. He has attended various international conferences related to AI to exchange ideas with the scholar community.

He is an open-source enthusiast. He has created many machine-learning libraries and made them available in the public domain. He is also a corporate trainer in data science and loves to teach college students. He has eclectic research interests viz natural language processing, speech processing, neural networks, music information retrieval, and other areas of machine learning.

Sakil has successfully developed and executed various analytics problem solutions in domains like Manufacturing, Retail, Finance, Entertainment, Sports, Automotive and Healthcare. He has worked on multiple key analytics consulting assignments involving opportunity identification, scoping, defining, and building analytics roadmap. He has designed and implemented customized solutions based on advanced analytics and user requirements. He is well-versed in new technologies and loves to explore innovative ideas. He believes that using data can build a better tomorrow for everyone.

• Paperback: 104 pages
• Publisher: White Falcon Publishing; 1 edition (2023)
• Author: Sakil Ansari
• ISBN-13: 9781636408354
• Product Dimensions:  7 x 1 x 10 Inches

Indian Edition available on: