Natural Language Processing: Fundamentals and Applications

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What Is Natural Language Processing


Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that focuses on the interactions between computers and human language, specifically how to train computers to process and analyze massive volumes of natural language data. NLP is an interdisciplinary subfield that focuses on the interactions between computers and human language. The end goal is to have a computer that is capable of "understanding" the contents of documents, including the contextual intricacies of the language that is used within them. After that, the system is able to accurately extract information and insights contained within the papers, in addition to classifying and organizing the documents themselves.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Introduction to Natural Language Processing


Chapter 2: Tokenization and Text Normalization


Chapter 3: Part-of-Speech Tagging


Chapter 4: Parsing and Syntax Trees


Chapter 5: Named Entity Recognition


Chapter 6: Sentiment Analysis


Chapter 7: Machine Translation


Chapter 8: Word Embeddings and Vector Space Models


Chapter 9: Deep Learning for Natural Language Processing


Chapter 10: Dialogue Systems and Chatbots


(II) Answering the public top questions about natural language processing.


(III) Real world examples for the usage of natural language processing in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of natural language processing' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of natural language processing.

Kuhusu mwandishi

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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