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Natural Language Processing with Python Quick Start Guide - Going from a Python developer to an effective Natural Language Processing Engineer (Paperback)
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Natural Language Processing with Python Quick Start Guide - Going from a Python developer to an effective Natural Language Processing Engineer (Paperback)
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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 DescriptionNLP 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 NLP. You will learn about
entity recognition, part of speech tagging and dependency parsing
for Q and A. We use text embedding for both clustering documents
and making chatbots, and then build classifiers using scikit-learn.
We conclude by deploying these models as REST APIs with Flask. By
the end, you will be confident building NLP applications, and know
exactly what to look for when approaching new challenges. What you
will learn Understand classical linguistics in using English
grammar for automatically generating questions and answers from a
free text corpus Work with text embedding models for dense number
representations of words, subwords and characters in the English
language for exploring document clustering Deep Learning in NLP
using PyTorch with a code-driven introduction to PyTorch Using an
NLP project management Framework for estimating timelines and
organizing your project into stages Hack and build a simple chatbot
application in 30 minutes Deploy an NLP or machine learning
application using Flask as RESTFUL APIs Who this book is
forProgrammers who wish to build systems that can interpret
language. Exposure to Python programming is required. Familiarity
with NLP or machine learning vocabulary will be helpful, but not
mandatory.
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