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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Natural Language Processing: Python and NLTK (Paperback)
Loot Price: R2,326
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Natural Language Processing: Python and NLTK (Paperback)
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Learn to build expert NLP and machine learning projects using NLTK
and other Python libraries About This Book * Break text down into
its component parts for spelling correction, feature extraction,
and phrase transformation * Work through NLP concepts with simple
and easy-to-follow programming recipes * Gain insights into the
current and budding research topics of NLP Who This Book Is For If
you are an NLP or machine learning enthusiast and an intermediate
Python programmer who wants to quickly master NLTK for natural
language processing, then this Learning Path will do you a lot of
good. Students of linguistics and semantic/sentiment analysis
professionals will find it invaluable. What You Will Learn * The
scope of natural language complexity and how they are processed by
machines * Clean and wrangle text using tokenization and chunking
to help you process data better * Tokenize text into sentences and
sentences into words * Classify text and perform sentiment analysis
* Implement string matching algorithms and normalization techniques
* Understand and implement the concepts of information retrieval
and text summarization * Find out how to implement various NLP
tasks in Python In Detail Natural Language Processing is a field of
computational linguistics and artificial intelligence that deals
with human-computer interaction. It provides a seamless interaction
between computers and human beings and gives computers the ability
to understand human speech with the help of machine learning. The
number of human-computer interaction instances are increasing so
it's becoming imperative that computers comprehend all major
natural languages. The first NLTK Essentials module is an
introduction on how to build systems around NLP, with a focus on
how to create a customized tokenizer and parser from scratch. You
will learn essential concepts of NLP, be given practical insight
into open source tool and libraries available in Python, shown how
to analyze social media sites, and be given tools to deal with
large scale text. This module also provides a workaround using some
of the amazing capabilities of Python libraries such as NLTK,
scikit-learn, pandas, and NumPy. The second Python 3 Text
Processing with NLTK 3 Cookbook module teaches you the essential
techniques of text and language processing with simple,
straightforward examples. This includes organizing text corpora,
creating your own custom corpus, text classification with a focus
on sentiment analysis, and distributed text processing methods. The
third Mastering Natural Language Processing with Python module will
help you become an expert and assist you in creating your own NLP
projects using NLTK. You will be guided through model development
with machine learning tools, shown how to create training data, and
given insight into the best practices for designing and building
NLP-based applications using Python. This Learning Path combines
some of the best that Packt has to offer in one complete, curated
package and is designed to help you quickly learn text processing
with Python and NLTK. It includes content from the following Packt
products: * NTLK essentials by Nitin Hardeniya * Python 3 Text
Processing with NLTK 3 Cookbook by Jacob Perkins * Mastering
Natural Language Processing with Python by Deepti Chopra, Nisheeth
Joshi, and Iti Mathur Style and approach This comprehensive course
creates a smooth learning path that teaches you how to get started
with Natural Language Processing using Python and NLTK. You'll
learn to create effective NLP and machine learning projects using
Python and NLTK.
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