information like the most popular words in a conversation or who is influencing it rarely makes it into news reports based on sentiment analysis. And part of the problem with placing tweets in “positive or negative” buckets, as journalists (yours truly included) often ask data analysis firms to do, is that natural language processing is really hard to do without context. There are only 140 characters in a tweet, and many of them make up abbreviations or words that can be used to convey very different sentim
