Python Natural Language Processing
- 出版商: Packt Publishing - ebooks Account
- 出版日期: 2017-07-31
- 定價: USD $49.99
- 售價: $1,764
- 貴賓價: 9.7 折 $1,710
- 語言: 英文
- 頁數: 486
- 裝訂: Paperback
- ISBN: 1787121429
- ISBN-13: 9781787121423
立即出貨 (庫存 < 3)
貴賓價: $1,663Deep Learning with Python: A Hands-on Introduction
貴賓價: $1,775Python Deep Learning (Paperback)
貴賓價: $1,617Deep Learning (Hardcover)
貴賓價: $1,019Digital Signal Processing: A Computer-Based Approach, 4/e (IE-Paperback)
貴賓價: $1,503Advanced Machine Learning with Python (Paperback)
貴賓價: $1,710Python Machine Learning By Example
貴賓價: $2,660Machine Learning: A Probabilistic Perspective (Hardcover)
- 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
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
- Focus on Python programming paradigms, which are used to develop NLP