Artificial Intelligence

Introduction to Natural Language Processing

4.47 (163 Ratings)


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About this course

The data on internet is mostly unstructured or semi-structured and is in the textual format. Using Natural Language Processing, we make use of the text data available across the internet to generate insights for the business. In order to understand these huge amount of data and make a insights from them we need to make them usable. Natural language processing helps us to do so. After cleaning these unstructured or semi-structured data we use modelling techniques to model those data. Then Machine learning concepts are used to get the prediction from them.


  • Tokenization
  • Stemming
  • Lemmatization
  • Removing Stopwords
  • Modeling Techniques in NLP
  • Sentiment Analysis

Course Syllabus

Introduction to Natural Language Processing

  • Introduction
  • What is NLP?
  • What is Python?
  • What is Data Pre-processing?
  • What are Stopwords?
  • What is Tokenization?
  • What is Stemming?
  • What is Lemmatization?
  • Modeling Techniques in NLP
  • What is Machine Learning and Logistic Regression?
  • What is Sentiment Analysis?
  • Demo on Sentiment Analysis
  • Summary

Course Certificate

Get Introduction to Natural Language Processing course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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