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
Education	You often talk about school and learning.	96.39
Time		72.33
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	55.12
Insight		6.85
Similes		6.49
Occupation & work	You talk a lot about jobs and your work.	6.43

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		165.21
Abstract thought		50.11
Positive affect		27.69
Glory		22.83
Moral imperative		17.84
Temporal References		5.93

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
	MeghnaK	5462	2238	Tweet @MeghnaK
	whatsnext	11160	6011	Tweet @whatsnext
	egdeedy	1371	551	Tweet @egdeedy
	bruce_p_smith	1984	446	Tweet @bruce_p_smith
	robpickering	1717	604	Tweet @robpickering

Created by Dan Zarrella © 2009 (72,167 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