Sentiment Analysis

Fillmore has developed and refined computational tools to extract nuanced emotional and intentional signals from diverse text corpora. His work includes the recalibration of sentiment dictionaries to correlate clinical note tones with objective medical data in lung cancer patients and the creation of automated detectors to distinguish specific patient or consumer wishes from general sentiment. These contributions improve the ability to monitor patient experiences and identify explicit needs within complex datasets.