Shift of Impression
We have created a Real-Time System that showcases the importance of words appearances in twitter. The average occurrences were divided by the English corpus occurrences, in order to get a ratio number. This number acts as a correction factor that reveals the real importance of the repetitive word at the time of election campaign in the USA.
Two bubbles were generated from this hierarchy, one with the words related to Barak Obama, and the other with the words related to Mitt Romney. The size of the words varies by the blocks of time. This means that, just by looking at how each word is growing inflates or shrinks we can comprehend, in real time, the evolution in word usage in twitter from the 23th October to the 7th November.