Behind the Numbers
A sample of public social media posts authored by students was gathered by querying those who self-identify as students using acronyms in their profile (for example, CCHS or BHS ‘21). These posts are subjected to rigorous pre-processing to remove as many non-student accounts as possible.
Using proprietary and licensed lexicons, these social media posts are aggregated by day and scored for sentiment in four different ways, which correspond to four different emotions: Happiness, Harm, Fear, and Anger.*
Listed student sentiment topics are extracted using a proprietary clustering algorithm developed by Social Sentinel.