Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change
Public opinion on climate policies is complex and ever-changing. This course will demonstrate a unique project that analyzes social media data using advanced NLP techniques to extract insights on public sentiment.
What you'll learn
In today's rapidly evolving global landscape, understanding public sentiment on climate policies is crucial for policymakers, researchers, and businesses alike.
In this course, Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change, you'll learn how to harness the power of big data and advanced NLP techniques to gain insights from social media discussions.
You'll witness the creation of a comprehensive sentiment analysis pipeline using cutting-edge tools like BERT and dynamic topic modeling, demonstrate data collection from X, showcase efficient preprocessing techniques, and visualize sentiment trends and topic clusters.
By the end of this course, you'll understand how data science can be applied to analyze complex public opinions, generating actionable insights from the ever-changing landscape of social media discourse.
Table of contents
About the author
Hello, I'm Ali. I have a PhD in computer science. I am currently conducting research on natural language processing (NLP) using Python and machine learning. I have a YouTube channel, named Flutterware, that shares tutorial on Google's Flutter platform that is used to develop mobile applications for Android and iOS with one base code. I love research and exploring knowledge. I think acquiring knowledge without sharing it is useless. I hope that you find my classes helpful.