Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Use Python and the Twitter API to build your own sentiment analyzer!

Created by: Loony Corn
An ex-Google, Stanford and Flipkart team

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

Requirements

• No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to perform the coding exercise and understand the provided source code

Target audience

• Nope! Please don't enroll for this class if you have already enrolled for our 21-hour course 'From 0 to 1: Machine Learning and NLP in Python'
• Yep! Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
• Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
• Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning