Twitter Sentiment Analysis (in Python)


Use Python & The Twitter API to Build Your Own Sentiment Analyzer

Mode Of Learning: Online

Access Duration: 365 days



Sentiment Analysis or Opinion Mining is a field of Neuro-linguistic Programming (NLP) that aims to extract subjective information like positive/negative, like/dislike, emotional reactions, and the like. It’s an essential component to Machine Learning as it provides valuable training data to a machine. Over this course, you’ll learn real examples why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis.


What’s Inside

  • Access 19 lectures & 4 hours of content 24/7
  • Learn Rule-Based & Machine Learning-Based approaches to solving Sentiment Analysis problems
  • Understand Sentiment Lexicons & Regular Expressions
  • Design & implement a Sentiment Analysis measurement system in Python
  • Grasp the underlying Sentiment Analysis theory & its relation to binary classification
  • Identify use-cases for Sentiment Analysis
  • Perform a real Twitter Sentiment Analysis



Experience level required: all levels, but some experience with Python is suggested