Beginner’s Guide To Natural Language Processing Using SpaCy

This article was published as a part of the Data Science Blogathon

Pre-requisites

  • Basic Knowledge of Natural Language Processing
  • Hands-on practice of Python

Introduction

As we know data has some kind of meaning in its position. For every moment, mostly text data is getting generated in different formats like SMS, reviews, Emails, and so on. The main purpose of this article is to understand the basic idea of NLP using the library- SpaCy. So let’s go ahead.

In this article, we are going to see how to perform natural language processing tasks using a popular library named “SpaCy” simply. The Natural Language Process is a subfield of Artificial Intelligence and it is concerned with interactions between machine and human languages. NLP is the method of analyzing, understanding, and extracting meaning from human languages for computers.

SpaCy is an open-source and free library for Natural Language Processing (NLP) in Python having a lot of in-built functionalities. It’s becoming popular for processing and analyzing data

 

 

 

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