Part- 1: Step by Step Guide to Master Natural Language Processing (NLP) in Python
This article was published as a part of the Data Science Blogathon
Introduction
Computers and Machines are great while working with tabular data or Spreadsheets. However, human beings generally communicate in words and sentences, not in the form of tables or spreadsheets, and most of the information that humans speak or write is present in an unstructured manner. So it is not very understandable for computers to interpret these languages.
Therefore, In natural language processing (NLP), our aim is to make the computer’s unstructured text understandable and retrieve meaningful information from it.
Let’s define Natural Language Processing (NLP) formally,
Natural language Processing (NLP) is a subfield of artificial intelligence, that involves the interactions between computers and humans.
So, In this article, we will discuss some of the basic concepts related to NLP. This article is part of a blog series on Natural Language Processing (NLP).
This is part-1 of the blog series on the Step by Step Guide to Natural Language Processing.
Important Note
After the