Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change

Unlock valuable insights into public opinion on climate change with data science and natural language processing (NLP). This course, Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change, equips you with the skills to analyze social media conversations and understand how people feel about climate policies.

Learn how to leverage big data to extract meaningful information from X (formerly Twitter). You'll gain hands-on experience building a complete sentiment analysis pipeline, utilizing powerful tools like BERT for advanced text understanding.

Key topics covered include:

• Data Collection from X: Master techniques for efficiently gathering relevant data from the X platform.
• Efficient Preprocessing: Discover best practices for cleaning and preparing text data for analysis.
• Sentiment Analysis: Apply cutting-edge NLP methods to determine public sentiment – whether positive, negative, or neutral – towards climate change topics.
• Topic Modeling: Uncover key themes and trends in climate change discussions using dynamic topic modeling.
• Visualization: Effectively present your findings through compelling visualizations of sentiment trends and topic clusters.

Whether you're a policymaker, researcher, or business professional, this course empowers you to understand complex public opinions and generate actionable insights from the dynamic world of social media discourse. Gain a competitive edge by applying data science to analyze public sentiment related to critical issues like climate change.