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Practical Natural Language Processing

NLP for beginners

What you’ll learn

  • Pluralize and singularize Text
  • Perform some Spell Corrections
  • Data mining
  • Clean a web page

Course content

1.5 total hours

Requirements

  • Python 3
  • Internet
  • jupyter notebook
  • A computer

Description

Welcome to my course on Natural language processing using the pattern library.

In this world of big data, coming in the form of text, audio, images etcetera has created the need for the understanding of such data.

In this lesson, we will learn to use the pattern library to process analyze and make sense and to generate insights on some text data.

Pattern library is a good library which is open source and it comes with great features that can help us with our natural language processing tasks.

Natural Language Processing(NLP) is basically an approach use to analyze and process text data. The pattern library can help us process and perform some analysis on text data such as; data mining, finding URLs, perform some sentimental analysis, tokenize sentences(break sentences into individual units) which could be an Ngram,( n=2,n=3) , lemmatize( generate words to their original state), spell checks, use pluralize and singularize methods to make text either plural or singular.

This course should help you get started with Natural Language Processing(NLP) with ease. Get to know how some underpinnings supporting some tech programs( auto corrections, text suggestions, ) we run daily on our phones and computers work.

Python3 was used for the course

Who this course is for:

  • Beginners
  • Educators
  • Python Enthusiast

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