Today I was playing with an interesting and enjoyable concept called TweetPscych . Its a site which is still in beta and only for entertainment purposes that puts linguistic analysis algorithms to work figuring out just what’s with the most compulsive Twitter users out there.
The site, developed by Dan Zarrella ,a social & viral marketing scientist builds a “psychological profile” of a given Twitter user based on his or her last 1,000 tweets by running the text against two algorithms namely RID (Regressive Imagery dictionary) and LIWC (Linguistic Inquiry and Word Count) that look not at what topics people are talking about but at the cognitive processes they seem to be using.
The RID algorithm is designed to measure the amount and type of three categories of content: primordial (the unconscious way you think, like in dreams), conceptual (logical and rational though) and emotional. The LIWC measures the cognitive and emotional properties of a person based on the words they use.
Dan combined these two systems with a Porter stemming algorithm and his own Twitter analysis infrastructure to create TweetPsych.com
Though I am certainly a new tweeter which you would know if you follow my tweets and I definitely donot have 1000 tweets, I tried my analysis and this is what the site had to say 😛
|You tend to talk about the past.
|You often talk about various cognitive processes like learning, thinking, knowing, etc.
|You express plenty of positive emotions.
|You tweet about your various senses often.
|You’re an agreeable person.
|Many of your tweets contain metaphors.
|You tend to talk in the present tense.
Primordial, Conceptual and Emotional Content
It definitely is interesting :). I would definitely like to check this once I have over 1000 tweets. This means more tweeting required from me from today 😉