NLTK: A Beginners Hands-on Guide to Natural Language Processing

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

Introduction: 

NLTK is a toolkit build for working with NLP in Python. It provides us various text processing libraries with a lot of test datasets. A variety of tasks can be performed using NLTK such as tokenizing, parse tree visualization, etc… In this article, we will go through how we can set up NLTK in our system and use them for performing various NLP tasks during the text processing step.

NLTK for NLP

Source:https://www.hackerearth.com/blog/developers/natural-language-processing-components-and-implementations/

Text Processing steps discussed in this article:

  1. Tokenization
  2. Lower case conversion
  3. Stop Words removal
  4. Stemming
  5. Lemmatization
  6. Parse tree or Syntax Tree generation
  7. POS Tagging

Installing NLTK:

Use the pip install method to install NLTK in your system:

pip install nltk

To understand the basics of NLP follow this link:

Understanding Natural Language Processing -A Beginner’s Guide

Downloading the datasets:

This is optional, but if you feel that

 

 

 

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