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.	61.03
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	49.32
Insight		19.22
Number		12.75
Motion		12.08
Money		11.68
Time		5.77

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		170.56
Constructive behaviors		48.34
Abstract thought		38.5

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
	2cre8	1720	1619	Tweet @2cre8
	edvard_kurnik	1277	2808	Tweet @edvard_kurnik
	fergi22	600	390	Tweet @fergi22
	taita80	2020	2783	Tweet @taita80
	sebastianj	3054	22545	Tweet @sebastianj

Created by Dan Zarrella © 2009 (162,076 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