Discussion
Choose a topic of interest (movie, celebrity, etc) and collect 100 tweets related to the topic. Hand-tag them as positive, neutral, or negative. Next, split them into 80 tweets as the training set and the remaining 20 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?
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.