Natural Language Processing [ Building Real World Projects]

Natural Language Processing [ Building Real World Projects], available at $44.99, has an average rating of 4.15, with 31 lectures, based on 75 reviews, and has 21124 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone with passion for Data Science / Natural Language Processing It is particularly useful for Anyone with passion for Data Science / Natural Language Processing.

Enroll now: Natural Language Processing [ Building Real World Projects]

Summary

Title: Natural Language Processing [ Building Real World Projects]

Price: $44.99

Average Rating: 4.15

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $19.99

Quality Status: approved

Status: Live

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

Target Audiences

Anyone with passion for Data Science / Natural Language Processing

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… )

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Natural Language Processing [Theory – Guest Lecture by Professo]

Lecture 2: Setting up the Environment for NLP – ACH

Chapter 2: Tokenization

Lecture 1: Introduction to Tokenization

Lecture 2: Downloading and Setting up NLTK

Lecture 3: Tokenization Tutorial

Chapter 3: Normalization

Lecture 1: Introduction to Normalization

Lecture 2: Normalization Tutorial

Chapter 4: Part of Speech Tagging

Lecture 1: Introduction to Part of Speech Tagging

Lecture 2: Part of Speech Tagging Tutorial

Chapter 5: Stopwords

Lecture 1: Introduction to Stopwords

Chapter 6: Named Entity Recognition

Lecture 1: Named Entity Recognition Lecture

Lecture 2: Named Entity Recognition Tutorial

Chapter 7: Classification

Lecture 1: Classification Lecture

Lecture 2: Classification Tutorial Part 1: Preprocessing movie reviews

Lecture 3: Classification Tutorial Part 2: Feature Sets

Lecture 4: Classification Tutorial Part 3: Naive Bayes

Lecture 5: Classification Homework Exercise

Chapter 8: Real World Applications of Natural Language Processing [COMPLETE PROJECT]

Lecture 1: Introduction

Lecture 2: Twitter Application Descriptions

Lecture 3: Creating a Twitter Application

Lecture 4: Getting the Test Set

Lecture 5: Preparing the Training Set

Lecture 6: Preprocessing

Lecture 7: Classification

Lecture 8: Testing the Model

Chapter 9: Python Programming basics for Natural Language Processing (Optional)

Lecture 1: Python For Beginners : Variables : Part 1

Lecture 2: Python For Beginners : Variables : Part 2

Lecture 3: Python For Beginners : Variables : Part 3

Lecture 4: Python For Beginners – Lists

Lecture 5: Python For Beginners – Lists Part 2

Lecture 6: Python For Beginners – Lists Part 3

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant
Future AI – Academy of Computing & Artificial Intelligence
Engineer
Savidu Dias
Senior Software Engineer at WSO2 Inc.

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 10 votes
4 stars: 26 votes
5 stars: 34 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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!

Menu