Track the keywords displayed and analyze for sentiment. The twitter stream is a river, we dip our ladle in to gather samples. The more towards one (1) the graph gets the more positive the sentiment is for that day, conversely the closer to negative one (-1) the graph gets the more negative the sentiment.
(POSITIVE, NEUTRAL, NEGATIVE) where negative one (-1) is the most negative, to one (1) the most positive