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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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The Natural Language Processing Workshop - Confidently design and build your own NLP projects with this easy-to-understand practical guide (Paperback, 2nd edition)
Loot Price: R1,018
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The Natural Language Processing Workshop - Confidently design and build your own NLP projects with this easy-to-understand practical guide (Paperback, 2nd edition)
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Make NLP easy by building chatbots and models, and executing
various NLP tasks to gain data-driven insights from raw text data
Key Features Get familiar with key natural language processing
(NLP) concepts and terminology Explore the functionalities and
features of popular NLP tools Learn how to use Python programming
and third-party libraries to perform NLP tasks Book DescriptionDo
you want to learn how to communicate with computer systems using
Natural Language Processing (NLP) techniques, or make a machine
understand human sentiments? Do you want to build applications like
Siri, Alexa, or chatbots, even if you've never done it before? With
The Natural Language Processing Workshop, you can expect to make
consistent progress as a beginner, and get up to speed in an
interactive way, with the help of hands-on activities and fun
exercises. The book starts with an introduction to NLP. You'll
study different approaches to NLP tasks, and perform exercises in
Python to understand the process of preparing datasets for NLP
models. Next, you'll use advanced NLP algorithms and visualization
techniques to collect datasets from open websites, and to summarize
and generate random text from a document. In the final chapters,
you'll use NLP to create a chatbot that detects positive or
negative sentiment in text documents such as movie reviews. By the
end of this book, you'll be equipped with the essential NLP tools
and techniques you need to solve common business problems that
involve processing text. What you will learn Obtain, verify, clean
and transform text data into a correct format for use Use methods
such as tokenization and stemming for text extraction Develop a
classifier to classify comments in Wikipedia articles Collect data
from open websites with the help of web scraping Train a model to
detect topics in a set of documents using topic modeling Discover
techniques to represent text as word and document vectors Who this
book is forThis book is for beginner to mid-level data scientists,
machine learning developers, and NLP enthusiasts. A basic
understanding of machine learning and NLP is required to help you
grasp the topics in this workshop more quickly.
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