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Natural language processing with Python : quick start guide : going from a Python developer to an effective natural language processing engineer by Nirant Kasliwal is a nonfiction available to read on EtoBox.

What is Natural language processing with Python : quick start guide : going from a Python developer to an effective natural language processing engineer about?

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer's guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine learning Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book Description NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of

Who reads Natural language processing with Python : quick start guide : going from a Python developer to an effective natural language processing engineer?

Author

Nirant Kasliwal

Publisher

Packt Publishing, Limited

Published

2018

Language

EN

ISBN

9781788994101

Category

nonfiction

Subjects

Computer Science, Language Learning, Science