(PDF/DOWNLOAD) Natural Language Processing with Python and spaCy: A Practical Introduction

Natural Language Processing with
Python and spaCy: A Practical
Introduction
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Natural Language Processing with Python
and spaCy: A Practical Introduction
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Natural Language Processing with Python
and spaCy: A Practical Introduction
DESCRIPTION
COPY LINK: https://pdf.bookcenterapp.com/yumpu/1718500521 Python Crash Course by Eric
Matthes Automate the Boring Stuff with Python by Al Sweigart Python Flash Cards by Eric
Matthes Impractical Python Projects by Lee Vaughan Natural Language Processing with Python
and spaCy by Yuli Vasiliev Serious Python by Julien Danjou User experience level Beginner
Beginner Beginner to Intermediate Intermediate Intermediate Intermediate For readers who want
A fast-paced, thorough introduction to Python A practical guide to using Python for automating
tedious tasks A quick and easy way to review Python fundamentals, vocabulary, syntax and more
Fun, entertaining projects to take your Python skills to the next level A practical introduction to
natural language processing with Python using spaCy Expert practical advice and tutorials to
perfect your professional Python skills Compatible with Python version Python 3 Python 3 Python
3 Python 3 Python 3 Python 2 &3 Special features Covers Django, matplotlib and plotly, and
pygame Covers working with files en masse, automating emails and texts, scraping the web, and
more Flash card format includes exercises and challenges to test and hone your skills Covers
modules like pygame, Pylint, pydocstyle, tkinter, python-docx, matplotlib, and pillow Create NLP
applications like chatbots, text-condensing scripts, and order-processing tools Covers powerful
techniques like using generators, handling time zones, and applying functional programming Page
count 544 pages 592 pages 101 cards 424 pages 216 pages 240 pages From the Author More
about this book by author Yuli Vasiliev We are entering an era when machines can be reached out
with no programming code, but with natural language - in a way humans interact with each other.
Natural Language Processing (NLP) is the technology that enables machines to make sense of a
human language, recognize intent in user input, and then generate appropriate responses. Natural
language is natural to humans but not to machines. To keep up with their human counterparts,
NLP-powered apps need to be good at syntax-driven sentence segmentation, part-of-speech
tagging, labelled dependency parsing, and named entity recognition. Guiding you through
common tasks and examples, this book demonstrates how to use these techniques with spaCy - a
leading Python library for NLP - to understand and generate human language with code.
Interested in chatbot development? You'll learn to make your bot: Recognize the intent of natural
language input Produce appropriate responses Understand the context of a discourse Organize a
natural conversation flow Employ computer vision to 'see' what is in a submitted photo Read more