Machine Learning - Twitter Sentiment Analysis in Python

Course

Online

£ 16.73 VAT inc.

*Indicative price

Original amount in USD:

$ 21

Description

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Duration

    Flexible

  • Start date

    Different dates available

Use Python & the Twitter API to Build Your Own Sentiment Analyzer.
Sentiment Analysis, or Opinion Mining, is a field of Neuro-linguistic Programming that deals with extracting subjective information, like positive/negative, like/dislike, and emotional reactions. In this “Twitter Sentiment Analysis in Python” online course, you’ll learn real examples of why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis. Supplemental Material included!

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Learn why Sentiment Analysis is useful and how to approach the problem using both Rule-Based and Machine Learning-Based approaches. The details are really important – training data and feature extraction are critical. Sentiment Lexicons provide us with lists of words in different sentiment categories that we can use for building our feature set. All this is in the run up to a serious project to perform Twitter Sentiment Analysis. We’ll spend some time on Regular Expressions which are pretty handy to know as we’ll see in our code-along.

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Reviews

Subjects

  • Machine Learning
  • Regular Expressions
  • Sentiment Analysis
  • Python Language
  • Installing Python
  • Sentiment Lexicons
  • Anaconda and Pip
  • Twitter Sentiment Analysis
  • SVM & SentiWordNet
  • Naive Bayes

Teachers and trainers (1)

Name Name

Name Name

Teacher

Course programme

Chapter I: What are You Feeling Like?
  • Lesson I: Introduction: You, This Course & Us!
  • Lesson II: Sentiment Analysis: What’s all the fuss about?
  • Lesson III: Machine Learning Solutions for Sentiment Analysis: the devil is in the details
  • Lesson IV: Sentiment Lexicons (with an introduction to WordNet and SentiWordNet)
  • Lesson V: Installing Python – Anaconda and Pip
  • Lesson VI: Back to Basics: Numpy in Python
  • Lesson VII: Back to Basics: Numpy & Scipy in Python
  • Lesson VIII: Regular Expressions
  • Lesson IX: Regular Expressions in Python
  • Lesson X: Put it to work: Twitter Sentiment Analysis
  • Lesson XI: Twitter Sentiment Analysis: Work the API
  • Lesson XII: Twitter Sentiment Analysis: Regular Expressions for Preprocessing
  • Lesson XIII: Twitter Sentiment Analysis: Naive Bayes, SVM & SentiWordNet

Additional information

What Will I Learn?

Design and Implement a sentiment analysis measurement system in Python
Grasp the theory underlying sentiment analysis, and its relation to binary classification
Identify use-cases for sentiment analysis
Learn about Sentiment Lexicons, Regular Expressions & Twitter API

Machine Learning - Twitter Sentiment Analysis in Python

£ 16.73 VAT inc.

*Indicative price

Original amount in USD:

$ 21