Tag Archives: sentiment analysis

I’ve been thinking a lot about sentiment analysis recently; for a number of reasons:

Datasift (a new product by Tweetmeme, currently in rather exclusive alpha) offers sentiment analysis as part of their streaming filters for Twitter.

Valley-based Fflick are developing their own sentiment engine via machine learning algorithms. The current manifestation of this is a movie review site, but they will be pursuing other verticals – no doubt once the tech has improved and they’ve got some $$s.

Qwiki, which I wrote about yesterday, appears to be on the artificial intelligence trail too. The task of establishing whether content is relevant/important/canonical is an incredibly daunting task to automate.

Finally [prompting this post] this morning I see a product launched by Lewis PR: Chatterscope monitors brand mentions and performs sentiment analysis – A free alternative to Radian6 and Alterian, perhaps? Monitoring and alert functionality is obviously useful, but sentiment analysis – that’s the marketing holy grail, and I’ve always been

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