I worked at a company where we built something similar, but far more advanced that used NLP to gauge the sentiment of a tweet with the volume of the full fireho

I worked at a company where we built something similar, but far more advanced that used NLP to gauge the sentiment of a tweet with the volume of the full firehose (350-400 million messages a day). I like this approach better because it's not actually trying to gauge the sentiment of the tweet, it's just looking for hash tags. Great concept.