Choose a topic of your interest, such as a movie, a celebrity, or any buzzword.

Then collect 50 tweets related to this topic. Hand-tag them as positive, neutral, or negative.

Next, split them into 40 tweets as the training set and the remaining 10 as the testing set. Run one or more classifiers over these tweets to perform sentiment analysis.

What are the precision and recall of these classifiers? Which classifier performs better than the others do?