Use DataSift to visualize the sentiment on Twitter with lights and sounds.
You can see a demo over on YouTube or read more information on DataSift Labs
You will need:
-
an API key from DataSift.
-
credit on your DataSift account (depending on the stream, this application may rapidly consume your credits).
-
access to the Salience Entities data source.
Locate the following line in sound.js
:
// connect to DataSift
DataSift.connect('<username>', '<apikey>', 'websocket.datasift.com');
Replace <username>
with your DataSift username and <apikey>
with your DataSift API key (look for it on your DataSift account page).
Save sound.js
and open index.html
in a web browser.
The default configuration of sound.js
references a stream that filters for 'life'. You can create your own stream and filter for other keywords. If you do, you must change the stream hash in the call to DataSift.register()
:
DataSift.register('b65ceba2ba57cadc880a18bd48c2f467', {
onMessage: function(d) { this.onMessage(d); }.bind(this),
onError: function() {}
});