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		55.03
Space		31.89
Past tense	You tend to talk about the past.	27.57
Similes		26.11
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	22.33
Sensations	You tweet about your various senses often.	17.49
Occupation & work	You talk a lot about jobs and your work.	7.92
Insight		7.06
Education	You often talk about school and learning.	5.7
Motion		5.28

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Abstract thought		97.7
Social behavior		60.55
Affection		33.87
Temporal References		30.12
Moral imperative		25.45
Glory		23.23
Visual sensations		15.61

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
	amandagravel	6573	4722	Tweet @amandagravel
	paul_e_wog	2253	468	Tweet @paul_e_wog
	missdestructo	6367	3310	Tweet @missdestructo
	GPappalardo	7119	1055	Tweet @GPappalardo
	CranberryPerson	1690	1473	Tweet @CranberryPerson

Created by Dan Zarrella © 2009 (78,097 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