Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data

Understand

Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods.

• In this paper, we constructed a massive climate change Twitter dataset and conducted comprehensive analysis using machine learning.
• By conducting topic modeling and natural language processing, we show the relationship between the number of tweets about climate change and major climate events; the common topics people discuss climate change; and the trend of sentiment.
• Our dataset was published on Kaggle (\url{https://www.kaggle.com/leonshangguan/climate-change-tweets-ids-until-aug-2021}) and can be used in further research.