Natural Language Processing [ Building Real World Projects]

Build Real World Applications of Natural Language Processing [COMPLETE PROJECT]

Ratings: 4.49 / 5.00




Description

Welcome to your first steps into the world of Natural Language Processing!

This course will guide you through the world of Natural Language Processing through hands-on tutorials with real world examples.

We will start off with the basics of Natural Language Processing, and work towards developing our very own application. By the end of this course, we will build an application that predicts what people think of any topic based on what people have said about it on Twitter.


Who this course is for:

  • Anyone interested in learning about Natural Language Processing.

  • Anyone who is not comfortable with programming but are interested in Natural Language Processing.

  • Students who want to start a career in Natural Language Processing.

  • Anyone planning on shifting their career towards Natural Language Processing.

  • People who want to add value to their products using Natural Language Processing.

Course Content

Natural Language Processing [NLP]

Setting up the Environment for NLP

Tokenization

Downloading and Setting up NLTK

Normalization

Part of Speech Tagging

Stopwords

Named Entity Recognition

Classification

Preprocessing

Naive Bayes Classifier

Real World Applications of Natural Language Processing [COMPLETE PROJECT]

Python Programming basics for Natural Language Processing


Does the course get updated?

We  continually update the course as well.

What if you have questions?

we offer full support, answering any questions you have.


There’s no risk !

This course comes with a full 30 day money-back guarantee.

Who this course is for:

  • Beginners with no previous python programming experience looking to obtain the skills to get their first programming job in  Natural Language Processing

  • Research Students (PhD, MSc, BSc etc... )

What You Will Learn!

  • Natural Language Processing [NLP]
  • Setting up the Environment for NLP
  • Tokenization
  • Downloading and Setting up NLTK
  • Normalization
  • Part of Speech Tagging
  • Stopwords
  • Named Entity Recognition
  • Classification
  • Preprocessing
  • Naive Bayes Classifier
  • Real World Applications of Natural Language Processing [COMPLETE PROJECT]
  • Python Programming basics for Natural Language Processing

Who Should Attend!

  • Anyone with passion for Data Science / Natural Language Processing