Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support enquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations.
This course will help you gain this skill by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications.
By the end of this tutorial, you’ll have a better understanding of NLP and will be able to transform data into actionable knowledge. You will also have worked on multiple examples that implement deep learning to solve real-world spoken-language problems.
What You Will Learn
- Build applications with Python, using the Natural Language Toolkit via NLP
- Create your own Chatbot using NLP
- Perform several Natural Language Processing tasks
- Classify text and speech using the Naive Bayes Algorithm
- Use various tools and algorithms to build real-world applications
This course is dedicated to developers who are comfortable with Python and know the basics of Machine Learning. This tutorial is an in-depth course to help you make your applications smarter by adding Natural Language Processing.
About The Author
Smail Oubaalla: Smail Oubaalla is a talented Software Engineer with an interest in building the most effective, beautiful and correct piece of software possible. He has helped companies build excellent programs. He also manages projects and has experience in designing and managing new products.
When not working, he loves hanging out with friends, hiking, and playing sports (football, basketball, rugby, and more). He also loves working his way through every recipe he can find in the family cookbook or elsewhere, and indulging his love for seeing new places.
Table of contents
- Chapter 1 : Getting Started with Natural Language Processing
- Chapter 2 : Dive into NLTK
- Chapter 3 : Building a Sentiment Analyzer
- Chapter 4 : Creating a Classifier
- Chapter 5 : Build Your Chatbot
- Title: Natural Language Processing in Practice
- Release date: January 2019
- Publisher(s): Packt Publishing
- ISBN: 9781787280885
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