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Team GB has bagged two golds today, so things are looking up. To celebrate here are three examples of sentiment analysis using data from Twitter. Lovely stuff.
- Emoto - tracks Twitter for themes related to the Games, analysing the messages for ‘emotional expressions’ and visualising the topics and tone of the conversation – find out more | New Scientist write-up Updates: Key stories from week 1 | The emotional journey of Team GB | final sculpture (video) | After the Olympics: the big picture | Data Stories podcast | Reflections on Emoto
- Energy of the Nation 2012 – tracking tweets posted using the hashtag #Energy2012, includes a breakdown by place plus trending athletes and sport, with overall figure projected onto the London Eye each evening – find out more
- on a smaller scale, but offering a rather more transferable methodology plus analysis, is Dan Slee’s Twitter Olympics, looking at a snapshot of 1393 tweets from the #london2012 build-up
For more on sentiment analysis see BuzzFeed on The Twitter Political Index, and a nice article from Social Flow on how Weibo reacted to Liu Xiang’s #fail. More anecdotally, some tweets during the 13 August #commschat felt that there was less snark than the norm, with Twitter becoming a friendly place, more international than mainstream media.