Book Name: Beginning Natural Language Processing
Author: Bhargav Srivinasa-Desikan
Publisher: Packt Publishing
File size: 5.03 MB
File format: PDF
Beginning Natural Language Processing Pdf Book Description:
Contemporary text investigation is currently quite reachable using Python and open source programs, so find how now you can perform modern text investigation within this age of textual data. This book demonstrates how you can utilize natural language processing, and computational linguistics calculations, to make inferences and obtain insights regarding information you’ve got. The tools to utilize these algorithms are readily available to you — together with Pythontools and tools such as Gensim and spaCy.
You’ll begin by learning about data cleanup, and how to carry out computational linguistics from original concepts. You are then able to explore the more complex regions of statistical NLP and profound learning with Python, with sensible language and language samples. You will learn how to label, parse, and version text utilizing the most effective tools. You will obtain hands-on understanding of the greatest frameworks to work with, and you’re going to understand when to pick out a tool such as Gensim for subject models, and if to utilize Keras for profound learning.
This book balances theory and functional hands-on illustrations, which means it’s possible to learn about and run your own all-natural language processing jobs and computational linguistics. You will find the rich ecosystem of Python tools you’ve got available to run NLP — and input the intriguing world of contemporary text analysis.
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