Natural Language Processing (NLP) research and development is occurring concurrently in many programming languages. Some very popular NLP libraries are written in various programming languages, such as Java, Python, and C++. However, we have chosen to write this book in Python and, in this chapter, we'll discuss the merits of using Python to delve into NLP. We'll also introduce the important Python libraries and tools that we will be using throughout this book.
In the chapter, we'll cover the following topics:
- Understanding Python with NLP
- Important Python libraries
- Web scraping libraries and methodology
- Overview of Jupyter Notebook
Let's get started!
Technical requirements
The code files for this chapter can be found at ...
