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Mining The Thought Stream

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Saved by 25 people (-4 private), first by anonymouse user on 2009-02-15


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What if you could peer into the thoughts of millions of people as they were thinking those thoughts or shortly thereafter? And what if all of these thoughts were immediately available in a database that could be mined easily to tell you what people both individually and in aggregate are thinking right now about any imaginable subject or event? Well, then you’d have a different kind of search engine altogether. A real-time search engine. A what’s-happening-right-now search engine.

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Mining The Thought Stream

Highlighted by tonycurzonprice

What makes Google and other search engines so valuable is that they capture people’s intent—what they are looking for, what they desire, what they want to learn about. But they don’t do a great job at capturing what people are doing or what they are thinking about. For thoughts and events that are happening right now, searching Twitter increasingly brings up better results than searching Google.

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Imagine you are in line waiting for coffee and you hear people chattering about a plane landing on the Hudson. You go back to your desk and search Google for plane on the Hudson — today — weeks after the event, Google is replete with results — but the DAY of the incident there was nothing on the topic to be found on Google. Yet at http://search.twitter.com the conversations are right there in front of you. The same holds for any topical issues — lipstick on pig? — for real time questions, real time branding analysis, tracking a new product launch — on pretty much any subject if you want to know whats happening now, search.twitter.com will come up with a superior result set.

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Twitter may just be a collection of inane thoughts, but in aggregate that is a valuable thing. In aggregate, what you get is a direct view into consumer sentiment, political sentiment, any kind of sentiment.

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