TweetPsych uses two linguistic analysis algorithms (RID and LIWC) to build a psychological profile of a person based on the content of their tweets. The service analyzes your last 1000 tweets and works best on users who have posted more than 1000 updates. It also works best on accounts that are operated by a single user and use Twitter in a conversational manner, rather than simply a content distribution platform. For more information read the blog post or follow the creator Dan Zarrella

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The features displayed below are those for which you score higher than the average. The score indicates how much more often you tweeted something that matched each feature than the baseline.

Cognitive Content

Feature	Description	Score
Occupation & work	You talk a lot about jobs and your work.	38.6
Time		38.04
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	30.66
Insight		5.73

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Temporal References		39.03
Glory		13.33
Abstract thought		5.3

The users below are those users who are the closest match to your TweetPsych profile. As we profile more users this will get more accurate.

Some people that think like you:		Tweets	Followers
	Davy	1073	642	Tweet @Davy
	pascalrossini	742	3454	Tweet @pascalrossini
	xensei	664	308	Tweet @xensei
	Szetela	6359	22226	Tweet @Szetela
	akirau	1179	176	Tweet @akirau

Created by Dan Zarrella © 2009 (83,136 accounts analyzed)



The results presented here are for entertainment purposes only and the terms used are psychological and may not equate with their normal, english language usage