Machine Learning - Twitter Sentiment Analysis in Python
Course
Online
*Indicative price
Original amount in USD:
$ 21
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Duration
Flexible
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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!
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Location
Start date
Start date
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.
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)
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Teacher
Course programme
- 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
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
*Indicative price
Original amount in USD:
$ 21