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Sentiment Analysis Course with Twitter and Python

£239.00 £21.95

Our Sentiment Analysis Course with Twitter and Python will teach you why Sentiment Analysis is important, and how you can approach specific problems using it!

If you want to learn about Sentiment Lexicons, Regular Expressions, Twitter Sentiment Analysis and much more then this course is for you! 

Sign up now!

SKU: EC4Y0042 Categories: , Tag:

Our Sentiment Analysis Course with Twitter and Python will teach you why Sentiment Analysis is important, and how you can approach specific problems using it!

If you want to learn about Sentiment Lexicons, Regular Expressions, Twitter Sentiment Analysis and much more then this course is for you! 

Sentiment Analysis is a field of Neuro-linguistic Programming. It deals with extracting subjective information, such as like/dislike, positive/negative, as well as emotional reactions! 

This course is 3.5 hours long, and you will get access to 13 lessons! You get access to all course materials for 12 months. 

These are just some of the subjects you will learn about: 

-Installing Python, Anaconda and Pip

-Regular Expressions in Python

-Sentiment Lexicons

-Twitter Sentiment Analysis

And much more! 

Sign up now! 

What’s Included?

Wiki_tick  Unlimited access for 12 months
Wiki_tick  Access anywhere, any time
Wiki_tick  Fast effective training, written and designed by industry experts
Wiki_tick  Track your progress with our Learning Management System
Wiki_tick  Unlimited support
Wiki_tick  Save money, time and travel costs
Wiki_tick  Learn at your own pace and leisure
Wiki_tick  Easier to retain knowledge and revise topics than traditional methods
Wiki_tick  Exam preparation quizzes, tests and mock exams to ensure that you are 100% ready

£239.00 £21.95Add to cart

Modules

Course Length: 3.5 Hours

Chapter 01: What are You Feeling Like?

Lesson 01: Introduction: You, This Course & Us!
Lesson 02: Sentiment Analysis: What’s all the fuss about?
Lesson 03: Machine Learning Solutions for Sentiment Analysis: the devil is in the details
Lesson 04: Sentiment Lexicons (with an introduction to WordNet and SentiWordNet)
Lesson 05: Installing Python – Anaconda and Pip
Lesson 06: Back to Basics: Numpy in Python
Lesson 07: Back to Basics: Numpy & Scipy in Python
Lesson 08: Regular Expressions
Lesson 09: Regular Expressions in Python
Lesson 10: Put it to work: Twitter Sentiment Analysis
Lesson 11: Twitter Sentiment Analysis: Work the API
Lesson 12: Twitter Sentiment Analysis: Regular Expressions for Preprocessing
Lesson 13: Twitter Sentiment Analysis: Naive Bayes, SVM & SentiWordNet

System Requirements

Minimum specifications for the computer are:

Windows:

Microsoft Windows XP, or later
Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS:

OSX/iOS 6 or later
Modern and up to date Browser (Firefox, Chrome, Safari)

All systems:

Internet bandwidth of 1Mb or faster
Flash player or a browser with HTML5 video capabilities (We recommend Google Chrome)