Summarization and Sentiment Analysis from User Health Posts

Abstract

Online health communities continue to offer huge variety of medical information useful for medical practitioners, system administrators and patients alike. In this work we collect real time health posts from reputed websites, where patients express their views, including their experiences and side-effects on drugs used by them. We propose to perform Summarization of user posts per drug, and come out with useful conclusions for medical fraternity as well as patient community at a glance.With the enormous increase in web, electronic information is also increasing in huge amount which, although good with respect to Information Age, creates overhead of time and space. Also understandability of information and consequent knowledge continue to be big challenges.