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
Positive Feelings	You often discuss positive sensations and feelings.	45.18
Education	You often talk about school and learning.	41.02
Metaphors	Many of your tweets contain metaphors.	32.13
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	15.94
Insight		12.23
Motion		5.16

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Aggression		110.18
Audio sensations		38.11
Affection		23.44
Restraint		19.22
Anxiety		10.55

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
	nyt	56055	380	Tweet @nyt
	CarlNorman	2597	2348	Tweet @CarlNorman
	fugue	178	55	Tweet @fugue
	abranches	1613	316	Tweet @abranches
	nihilozero	420	829	Tweet @nihilozero

Created by Dan Zarrella © 2009 (83,119 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