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		124.82
Space		33.92
Number		30.42
Money		29.83
Occupation & work	You talk a lot about jobs and your work.	24.05
Similes		22.71
Future tense	You talk about the future often.	22.12
Past tense	You tend to talk about the past.	18.41
Insight		11.41
Metaphors	Many of your tweets contain metaphors.	8.34
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	7.06

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Temporal References		88.12
Abstract thought		79.52
Social behavior		45.92
Moral imperative		21.06
Narcissism		10.7
Anxiety		9.82

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
	klohrenz	2013	385	Tweet @klohrenz
	feliciaday	2389	777281	Tweet @feliciaday
	ali_in_london	312	66	Tweet @ali_in_london
	laking	1008	231	Tweet @laking
	textexin	605	102	Tweet @textexin

Created by Dan Zarrella © 2009 (69,679 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