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		55.82
Occupation & work	You talk a lot about jobs and your work.	46.19
Space		37.11
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	34.65
Past tense	You tend to talk about the past.	26.89
Future tense	You talk about the future often.	23.75
Similes		17.42
Sensations	You tweet about your various senses often.	15.51
Insight		12.19
Positive Feelings	You often discuss positive sensations and feelings.	7.68
Metaphors	Many of your tweets contain metaphors.	7.41

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Abstract thought		74.29
Cold sensations		50.52
Glory		45.09
Temporal References		35.02
Visual sensations		34.64
Hard sensations		8.5
Moral imperative		8.13

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
	jaygilmore	8016	2299	Tweet @jaygilmore
	johnmcoleman	835	136	Tweet @johnmcoleman
	tyeshasnow	1145	351	Tweet @tyeshasnow
	sonnyjohl	1346	111	Tweet @sonnyjohl
	airbush	737	11	Tweet @airbush

Created by Dan Zarrella © 2009 (81,597 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