Natural Language Processing in Practice
Build chatbots, text analyzers, classifiers, and more with NLP
Created by Smail Oubaalla
Explore how to use Natural Language Processing to interpret and act on spoken and written language. You will learn practical techniques for building chatbots, text analyzers, and classifiers using Python and deep learning. By the end, you will know how to turn raw language data into valuable insights.
Packt | Jan 2019 | 107 min
What You Will Learn
You will work through hands-on projects and practical examples that show how NLP algorithms are applied in real scenarios. Each step guides you through building and improving your own language processing applications, making complex concepts easier to understand and use.
Key Features
- Build chatbots and text analyzers using Python and NLP libraries
- Classify and interpret text and speech with deep learning techniques
- Apply NLP to real-world problems like customer feedback analysis
Target Audience
Designed for developers who are comfortable with Python and have a basic understanding of machine learning. If you want to make your applications smarter by adding language understanding and processing capabilities, you will find the skills and guidance you need here.
