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
Space		50.57
Time		45.21
Future tense	You talk about the future often.	30.43
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	30.42
Past tense	You tend to talk about the past.	11.11
Occupation & work	You talk a lot about jobs and your work.	9.66
Insight		7.07
Metaphors	Many of your tweets contain metaphors.	5.62

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		84.38
Abstract thought		69.2
Temporal References		45.37
Aggression		35.67
Moral imperative		26.77
Glory		23
Visual sensations		8.28

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
	jtnt	4718	755	Tweet @jtnt
	acererak	2418	449	Tweet @acererak
	chrisbergman	4159	1623	Tweet @chrisbergman
	mattlmorris	759	122	Tweet @mattlmorris
	CaseyMiller	2627	129	Tweet @CaseyMiller

Created by Dan Zarrella © 2009 (81,639 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