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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
Time68.25
Cognitive processesYou often talk about various cognitive processes like learning, thinking, knowing, etc.61.37
Past tenseYou tend to talk about the past.34.59
Space31.59
Similes29.17
Positive emotionsYou express plenty of positive emotions.22.28
EducationYou often talk about school and learning.16.53
Insight14.04
AgreementYou're an agreeable person.12.89
Occupation & work You talk a lot about jobs and your work. 7.76
Motion7.06

Primordial, Conceptual and Emotional Content

Feature Description Score
Abstract thought139.47
Social behavior122.62
Temporal References53.79
Moral imperative13.34
Cold sensations11.79
Constructive behaviors10.75
Affection9.89


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:TweetsFollowers
theleggett 3177 3609 Tweet @theleggett
cory_foy 3782 727 Tweet @cory_foy
pauldjohnston 3430 772 Tweet @pauldjohnston
patrickrevans 4541 1576 Tweet @patrickrevans
keithdon 1769 990 Tweet @keithdon
Created by Dan Zarrella © 2009 (81,439 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

Additional resources