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Click for high-resolution PDF version (11MB) Video A time-lapse video of the maps, cycled twice, is available below (best viewed at 720p): Mood Variations A number of interesting trends can be observed in the data.
Pulse of the Nation: U.S. Mood Throughout the Day inferred ...
| dev.twitter.com
Updated on Sat, 2012-08-25 12:22 Twitter is an information network and communication mechanism that produces more than 200 million tweets a day. The Twitter platform offers access to that corpus of data, via our APIs. Each API represents a facet of Twitter, and allows developers to build upon and extend their applications in new and creative ways. It's important to note that the Twitter APIs are constantly evolving, and developing on the Twitter Platform is not a one-off event.
API Wiki / Twitter API Documentation
Web Intents pages cannot be loaded in an IFRAME. Images for Twitter birds, stars for favoriting, ... can find this value from the API or by viewing the permalink page for any Tweet, usually accessible ... var intentRegex = / twitter\.com(\:\d{2,4})?\/intent\/(\w +)/ , windowOptions ... Documentation - @ episod - 2012-08-25 12:02 Discussing API v1.1TweetFeel is a new web service by marketing research startup Conversition Strategies that combines real-time search for Twitter with sentiment detection algorithms. The idea is for people to use TweetFeel to run search queries for products, celebrities, companies, brands etc. and thus get a notion of what the average Twitter user thinks of them in a matter of seconds. TweetFeel evaluates real-time tweets about whatever search term the user has entered for positive and negative feelings, presumably taking into account words like ‘good’, ‘sucks’, ‘great’, ‘screw’, ‘love’ and whatnot. Search results flow down the screen as they are calculated as positive or negative, and the service offers an overall percentage number to indicate whether the majority of results are one or the other. <p style="text-align:right;color:#A8A8A8"></p>
TweetFeel: Real-Time Sentiment Search