Beginner, Libraries, NLP, Python, Text, Unstructured Data

Top 8 Python Libraries For Natural Language Processing (NLP) in 2021

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

Introduction

Natural language processing (NLP) is a field situated at the convergence of data science and Artificial Intelligence (AI) that – when reduced to the basics – is all about teaching machines how to comprehend human dialects and extract significance from the text. This is additionally why Artificial Intelligence is regularly essential for NLP projects.

So what’s the reason, why many companies care about NLP? Basically in light of the fact that these advances can give them an expansive reach important bits of knowledge and arrangements that address language-related issues purchasers may encounter while cooperating with an item.

So in this article, we are going to cover the top 8 Natural Language Processing(NLP) libraries and tools that could be useful for build real-world projects. So let’s start!

 

Table Of Contents

  1. Natural Language Toolkit(NLTK)
  2. GenSim
  3. SpaCy
  4. CoreNLP
  5. TextBlob
  6. AllenNLP
  7. polyglot
  8. scikit-learn

 

Natural Language Toolkit (NLTK)

NLTK is the main

 

 

 

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