Continue to poke away at looking at twitter data and what it means. One of the things I think about, because everybody else is doing it, is the idea of sentiment analysis. What’s interesting is that this posting reminded me of a Facebook “problem” — Sombody posts a note on facebook like “Broke my arm” and you end up …

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I’ve been playing with clustering my email, just a sample set of 300 or so messages. It’s been a while since I’ve done any “NLP” work and it’s really quite fun. Some learnings: As the dimentionality of space increases everything starts to sit at the origin: initially you might have 120 unique words in an email message, …

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