Python Natural Language Processing
Jalaj Thanaki
Sold by THE SAINT BOOKSTORE, Southport, United Kingdom
AbeBooks Seller since 14 June 2006
New - Soft cover
Condition: New
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Add to basketSold by THE SAINT BOOKSTORE, Southport, United Kingdom
AbeBooks Seller since 14 June 2006
Condition: New
Quantity: Over 20 available
Add to basketThis item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Seller Inventory # C9781787121423
Leverage the power of machine learning and deep learning to extract information from text data
Key Features
Book Description
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.
What you will learn
Who this book is for:
This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them.
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