Comments on: Datamining Twitter

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ReadingPower1 12/06/2011 « READINGPOWER — Tue, 06 Dec 2011 13:31:14 +0000

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Marketing Day: December 5, 2011 — Mon, 05 Dec 2011 21:11:48 +0000

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By: Martin Edic

Martin Edic — Mon, 05 Dec 2011 15:17:34 +0000

I’m a bit bewildered by this post. You’re just discovering social media monitoring? Sentiment analysis is an ‘emerging field’? I worked a for a company doing these things in 2008 (SM2 from Techrigy). This was the year when these capabilities exploded in usage with companies like Radian 6 (acquired by Salesforce two years ago for $326 million) emerging.
Honestly, because you’ve discovered something, it doesn’t mean it’s new. This is a fundamental problem with publishing and media: those who should be in the forefront of trends are not even aware of them. Write about that. And do your homework.
And, btw, if you think Twitter has metadata, look at Facebook. It has at least 1000 times as much metadata. And that metadata has a far longer life span than any mercurial Tweet stream.

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data mining by Data journalism - Pearltrees — Mon, 05 Dec 2011 09:52:07 +0000

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By: Taariq Lewis

Taariq Lewis — Mon, 05 Dec 2011 06:28:24 +0000

Hi Frédéric,

Another great article, as always on the intersection of publishing and social media. May I recommend you take a look at Conde Naste’s Reddit.com? It is as an older, but fast growing (revived) online community where prediction and sentiment modeling may be actually more compelling because of the movement of entire communities of subreddits at a time.

This is something that’s not easily tracked or measured on Twitter.

All the best,
Taariq