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		86.67
Occupation & work	You talk a lot about jobs and your work.	82.07
Space		74.86
Swear		57.96
Certainty		12.82
Similes		12.43
Positive emotions	You express plenty of positive emotions.	10.69
Cognitive processes	You often talk about various cognitive processes like learning, thinking, knowing, etc.	6.28

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		50.64
Sexual fixation		46.66
Temporal References		37.26
Abstract thought		34.4
Glory		27.54
Consciousness alteration		14.66
Constructive behaviors		11.07
Hard sensations		9
Anxiety		6.88
Moral imperative		6.57

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
	uxsoup	1308	505	Tweet @uxsoup
	VDP83	795	153	Tweet @VDP83
	vladimiroane	1019	784	Tweet @vladimiroane
	sherrys_jewels	554	338	Tweet @sherrys_jewels
	andyhunter	1085	690	Tweet @andyhunter

Created by Dan Zarrella © 2009 (76,484 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