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		126.98
Past tense	You tend to talk about the past.	33.79
Similes		31.22
Sensations	You tweet about your various senses often.	16.14
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	14.98
Inhib		9.1
Insight		9.02
Occupation & work	You talk a lot about jobs and your work.	7.09

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Temporal References		75
Visual sensations		42.02
Abstract thought		28.45
Moral imperative		11.3
Affection		9.19
Glory		9.08
Anxiety		6.62

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
	sstephenson	721	1565	Tweet @sstephenson
	sneeu	2571	224	Tweet @sneeu
	doogsatx	2534	176	Tweet @doogsatx
	madebyrobot	950	207	Tweet @madebyrobot
	djenryte	816	59	Tweet @djenryte

Created by Dan Zarrella © 2009 (83,140 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