Beginner, Data Science, Libraries, NLP, Python, Text

Text Analysis with Spacy to Master NLP techniques

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

Natural Language Processing(NLP) is a branch of Artificial Intelligence that deals with Daily Language. Have you ever wonder how Alexa, Siri, Google Assistant understand us with voice and respond to us. Human Language is the fuzziest and complex. As they receive text input first preprocessing of text happens and many techniques are embedded which lets them understand grammar. In this tutorial, we will study some techniques which are helpful to Analyze and visualize text data using a very powerful NLP library as Spacy.

text analysis| NLP

 

Table of contents

  • Introduction to Spacy
  • Spacy Setup
  • Spacy Basics
  • Spacy in Action
    • Tokenization
    • Phrase Matching
    • POS tagging
    • Named Entity Recognition
  • End Notes

Introduction to Spacy

Spacy is an open-source Natural Language processing library in python. It is used to retrieve information, analyze text, visualize text, and understand Natural Language through different means. Spacy is a way more fast and intelligent

 

 

 

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