[cl42]

What sort of accuracy did you have in your sentiment analysis algorithms? I'm curious because I find the error rate in such algorithms is typically higher than any sort of variance you are seeking, which causes significant problems in terms of any sort of pattern recognition.

When you're using things as short as Tweets, and as broad as "general sentiment", you're probably making accuracy even worse, to the point that simpler demographic analysis or bag-of-words clustering (i.e., cluster areas by diction rather than by sentiment) yields more reliable results, even for sentiment.

[chippy]

Accuracy was pretty bad in sentiment analysis. Especially how people talk on tweets. Loads of false positives.