Browsing by Subject "Maximum Entropy classifier"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item Semisupervised sentiment analysis of tweets based on noisy emoticon labels(2011-08) Speriosu, Michael Adrian; Baldridge, Jason; Erk, KatrinThere is high demand for computational tools that can automatically label tweets (Twitter messages) as having positive or negative sentiment, but great effort and expense would be required to build a large enough hand-labeled training corpus on which to apply standard machine learning techniques. Going beyond current keyword-based heuristic techniques, this paper uses emoticons (e.g. ':)' and ':(') to collect a large training set with noisy labels using little human intervention and trains a Maximum Entropy classifier on that training set. Results on two hand-labeled test corpora are compared to various baselines and a keyword-based heuristic approach, with the machine learned classifier significantly outperforming both.