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The Four Keys to Natural Language Processing

Understanding the basics of Tokenization, POS Tagging & Lemmatizer, Named Entity Recognition, and Semantic Analysis
Instructor:
Noah Thies
712 students enrolled
English [Auto-generated]
They will have a basic understanding of Natural Language Processing while having experience build applications themselves.

We our living in an amazing time. With the acceleration and growth of technology we are in a new age.  With technology like Natural Language Processing we are able to create and build applications that can change the world. We have the tools in the palm of our hands just need to understand how use them. Learn and build applications on one of the most cutting edge technology fields today with this easy to understand course on the Four Keys to Natural Language Processing. 

  • Understand what is NLP and its effects on society
  • Dive in to Four of the Key pieces to NLP
  • Learn the how to they work while building them yourself
  • Get real life examples of NLP systems and methods

With this course you will be able to understand why NLP is a driving force to change the way we interact with computers, learn from data, and solve problems. Many different forms of NLP are already in every part of our world and help us solve problems we haven’t even thought of yet.

I designed this Natural Language Processing course to be easy to understand for beginners. We start the course off by talking about what NLP is and how you may actually be using it everyday. Secondly we talk about one the most important keys to NLP, Tokenization. Thirdly we go over POS-tagging and Lemmatizer to crucial parts to many NLP applications today. Then we go over Named Entity Recognition and its uses today. Lastly we learn about the final key in the course, Sentiment Analysis. Each section in the course has a code demo where we get you started on your first NLP application for all four of the NLP keys. When we are finished with all the material. I will do a quick overview of the most important parts and what you should take out of the course. 

1
Introduction

Tokenization

1
Tokenization

In the the first video of the NLP course we will be going over Tokenization. Tokenization is a necessary part of any NLP application and you will have a understanding of why by the end of the lecture. 

2
Tokenization Code Demo

This video will be your first code demo. We will first have you download the necessary programs to make this application work. Then I will take you step by step of how you can build it at your own computer.  

POS-tagging and Lemmatization

1
POS-tagging and Lemmatization
2
POS-tagging and Lemmatization Demo

Named Entity Recognition

1
Named Entity Recognition
2
Named Entity Recognition Demo

Sentiment Analysis

1
Sentiment Analysis
2
Sentiment Analysis Demo

Course Overview/Closure

1
Course Overview

In this video we will be doing a overview of the course. Getting the key parts from every lecture and what you should walk away with.

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

1 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion