12-19-2025, 03:33 PM
I'm working on a personal research project analyzing the correlation between local weather patterns and the tone of community social media posts over a year. The data analysis is becoming overwhelming because the sentiment data is so noisy. I'm curious if anyone has tried similar micro-scale socio-climatic studies and what methods you found most effective for cleaning and interpreting such messy, real-world datasets.