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

New: check out the TweetPsych Site Profiler

Click here to tweet about TweetPsych

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
Money		31.06
Motion		29.48
Sensations	You tweet about your various senses often.	26.75
Occupation & work	You talk a lot about jobs and your work.	13.82
Inhib		6.12

Primordial, Conceptual and Emotional Content

Feature	Description	Score
Social behavior		266.69
Concreteness		36.63
Visual sensations		30.14
Glory		19.84
Anxiety		6.78

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
	svdp	186	1103	Tweet @svdp
	100ideas	562	319	Tweet @100ideas
	SylvieDahl	479	374	Tweet @SylvieDahl
	lmclaug	575	401	Tweet @lmclaug
	mdybwad	771	369	Tweet @mdybwad

Created by Dan Zarrella © 2009 (81,868 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