Implementations of systems that analyze emotions in text.
We are exploring a number of lexicon-based approaches. Systems such as LIWC look for words from an emotion dictonary in the text to determine the author's emotion during particular sentences.
A popular way of recognizing emotions in text is to train classifiers based on annotated data.
Bugs, comments and questions can be submitted to the issues tracker.