In the second course of this two-part immersive program, you will dive into sentiment analysis to glean insights from textual data, further becoming a more sophisticated consumer of analytics and more knowledgeable in your interactions with professional data scientists.
You’ll learn to use natural-language processing techniques to extract insights from unstructured text. Specifically, you will explore the sentiment expressed in tweets about the U.S. government's response to the COVID-19 pandemic on Twitter using the Twitter API. You’ll learn to analyze the sentiment expressed within a text document, how to harvest data from the Twitter stream and how to analyze the sentiment(s) expressed by a collection of tweets.
The course will run from 4:00-6:00PM PT Monday through Friday for two weeks.
Prerequisite: Introduction to Data Analytics: Machine Learning