Sentiment analysis is the extraction of attitudes and opinions from human-authored documents. The capture and analysis of such attitudes and opinions in an automated and structured fashion might offer a powerful technology to a number of problem domains, including business intelligence, marketing, national security, and crime prevention. This project aims to develop technologies for extraction and analysis of sentiment from free text using a combination of natural language processing (NLP), text mining and machine learning techniques. The work will evolve building models of sentiment from which suitable templates for extraction will be designed. The current main focus is in the health-care domain.