Natural Language Processing (NLP) is an emerging technology that derives various forms of AI that we see in the present times and its use for creating a seamless as well as interactive interface between humans and machines will continue to be a top priority for today’s and tomorrow’s increasingly cognitive applications. Here, we are going to discuss about some of the very useful applications of NLP.
In this chapter, we will learn about language processing using Python.
The following features make Python different from other languages −
Python is interpreted − We do not need to compile our Python program before executing it because the interpreter processes Python at runtime.
Interactive − We can directly interact with the interpreter to write our Python programs.
Object-oriented − Python is object-oriented in nature and it makes this language easier to write programs because with the help of this technique of programming it encapsulates code within objects.
Beginner can easily learn − Python is also called beginner’s language because it is very easy to understand, and it supports the development of a wide range of applications.
