The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
This work addresses the need for context-sensitive methods to understand public mood for better impact-based forecasting and risk communication in climate change, but it is incremental as it builds on existing sentiment analysis approaches.
The study tackled the problem of analyzing public sentiment on social media in response to weather by accounting for climate and linguistic baselines, resulting in improved accuracy for weather-related sentiment analysis.
This study explores how different weather conditions influence public sentiment on social media, focusing on Twitter data from the UK. By considering climate and linguistic baselines, we improve the accuracy of weather-related sentiment analysis. Our findings show that emotional responses to weather are complex, influenced by combinations of weather variables and regional language differences. The results highlight the importance of context-sensitive methods for better understanding public mood in response to weather, which can enhance impact-based forecasting and risk communication in the context of climate change.