The rest of the paper is organized as follows: we discuss the sentiment analysis of healthrelated online messages, then we introduce our data; next we discuss the Subjectivity Lexicon and the features we use to represent the data, the analysis of the manual annotation and the machine learning classification results, before we conclude the presentation.
out of these 21, only 10 words were found unique with their part of speech.