Comparison of different algorithms for sentiment classification

Sentiment classification has various applications and information from social networks can be especially useful. In this paper we perform sentiment classification of Twitter messages, so called tweets. We compare several machine learning classification algorithms and try to improve results by using processing pipes that extract meaningful features and remove noise.