Opinion Learning from Medical Forums
Tanveer Ali, Marina V. Sokolova, David Schramm, Diana Zaiu Inkpen · 2013
Our study focuses on opinion mining of several medi-cal forums dedicated to Hearing Loss (HL). Surgeries related to HL are the most common surgeries in North America; thus, they affect many patients and their families. We have extracted the opinions of people from these forums related to stigma of HL, conse-quences of HL surgeries, living with HL, failures of HL loss treatments, etc. We performed a manual an-notation first with two annotators and have 93 % over-all agreement with kappa 0.78 and then applied Ma-chine Learning methods to classify the data into opin-ionated and non-opinionated messages. Using our feature set, we achieved best F-score 0.577 and 0.585 with SVM and logistic-R classifier respectively. 1