***Free eBook for customers who purchase the print book from Amazon*** Are you thinking of learning more about Natural Language Processing (NLP)? This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using ]NLP. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations. Target Users The book designed for a variety of target audiences. The most suitable users would include: Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of Data Science and NLP.Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? Introduction to Natural Language ProcessingWhat is Natural Language ProcessingPerspectivizing NLP: Areas of AI and Their InterdependenciesPurpose of Natural Language ProcessingText ManipulationTokenizationStemmingLemmatizationNormalizationAccessing Text Corpora and Lexical ResourcesProcessing Raw TextCategorizing and Tagging WordsNLP ApplicationsText ClassificationSentiment ClassificationTopic ModellingQuestion AnsweringSpeech RecognitionMachine TranslationWord RepresentationBag of WordsOne-Hot EncodingWord Vectors RepresentationWord2Vec and GloVeLearning to Classify TextSupervised ClassificationDecision TreesNaive Bayes ClassifiersMaximum Entropy ClassifiersDeep Learning for NLPWhat is Deep LearningFeed Forward Neural NetworksRecurrent Neural NetworksGated Recurrent UnitLong Short Term Memory Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: If you want to smash NLP concepts and Fundamentals for Beginners from scratch, this book is for you. No need for any coding experience. Q: Does this book include everything I need to become a NLP expert? A: Unfortunately, no. This book is designed for readers taking their first steps in NLP and further learning will be required beyond this book to master all aspects of NLP. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at contact@aisciences.net.
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