Python Natural Language Processing

Python Natural Language Processing

English | July 31st, 2017 | ASIN: B072B8YWCJ, ISBN: 1787121429 | 648 Pages | EPUB | 14.23 MB

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.

During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis.

You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data.

By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world.

Key Features
Implement Machine Learning and Deep Learning techniques for efficient natural language processing
Get started with NLTK and implement NLP in your applications with ease
Understand and interpret human languages with the power of text analysis via Python

What you will learn
Focus on Python programming paradigms, which are used to develop NLP applications
Understand corpus analysis and different types of data attribute.
Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on
Learn about Features Extraction and Feature selection as part of Features Engineering.
Explore the advantages of vectorization in Deep Learning.
Get a better understanding of the architecture of a rule-based system.
Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems.
Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems


[Fast Download] Python Natural Language Processing

Ebooks related to "Python Natural Language Processing" :
Learn Electronics with Arduino: An Illustrated Beginner's Guide to Physical Computing
Labview Based Automation Guide For Microwave Measurements
Practical Electronics for Optical Design and Engineering (Tutorial Texts)
LOGO! 8: A Practical Introduction, with Circuit Solutions and Example Programs
Accelerating Pattern Matching with OpenCL
Schaum's Outline of Electric Circuits, 6th edition
Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II: Non-P
Microwave Circuits for 24 GHz Automotive Radar in Silicon-based Technologies
The kid's guide to GPS- How it works and how it's used
DSP Processor Fundamentals: Architectures and Features
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.