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
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	28.07
Money		17.13
Occupation & work	You talk a lot about jobs and your work.	12.57
Insight		11.4
Metaphors	Many of your tweets contain metaphors.	5.03
Motion		5

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		34.1
Moral imperative		16.22
Abstract thought		13.71

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
	Citizensnews	2803	303	Tweet @Citizensnews
	thedailybuzzz	2892	9943	Tweet @thedailybuzzz
	StateStPosts	1703	218	Tweet @StateStPosts
	geezeronline	712	293	Tweet @geezeronline
	kalimkassam	1543	751	Tweet @kalimkassam

Created by Dan Zarrella © 2009 (71,061 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