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
Time		173.57
Space		66.33
Past tense	You tend to talk about the past.	53.13
Swear		32.54
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	28.96
Sensations	You tweet about your various senses often.	27.25
Sports		26.74
Similes		14.77
Occupation & work	You talk a lot about jobs and your work.	9.39
Affect		5.44

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Temporal References		143.7
Abstract thought		68.75
Sexual fixation		37.15
Oral fixation		28.82
Moral imperative		27.07
Positive affect		12.31
Anxiety		9.37

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
	craigchilds	4818	1176	Tweet @craigchilds
	nickdebruyne	663	88	Tweet @nickdebruyne
	jtupeck	2977	217	Tweet @jtupeck
	garrydanger	928	108	Tweet @garrydanger
	chrisgriffin	3293	313	Tweet @chrisgriffin

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