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		68.41
Past tense	You tend to talk about the past.	60.98
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	40.68
Similes		20.99
Occupation & work	You talk a lot about jobs and your work.	18.52
Insight		11.69
Positive Feelings	You often discuss positive sensations and feelings.	5.92

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Abstract thought		106.82
Social behavior		79.85
Temporal References		63.46
Moral imperative		24.67
Affection		12.11
Sexual fixation		10.41

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
	mattstratton	4647	1456	Tweet @mattstratton
	mrch0mp3rs	4826	722	Tweet @mrch0mp3rs
	Saintless	6812	827	Tweet @Saintless
	innerbrat	4162	209	Tweet @innerbrat
	cubanaLAF	10864	1893	Tweet @cubanaLAF

Created by Dan Zarrella © 2009 (79,534 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