[bravura]

Not very well. Twitter sentiment is a difficult problem.

Consider using millions of training examples (vs. thousands). This was done as part of the "distant supervision" Twitter sentiment technique. What this means is that tweets with positive emoticons were labeled as positive sentiment, and negative emoticons were labeled as having negative sentiment. Emoticons were stripped before training. This system got 80% accuracy.

http://cs.wmich.edu/~tllake/fileshare/TwitterDistantSupervis...