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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

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
Social processesMany of your Tweets reference various social behaviors.947.66
Music280.52
EducationYou often talk about school and learning.265.06
Space217.99
Self referenceYou talk about yourself a lot.185.7
Time179.58
Cognitive processesYou often talk about various cognitive processes like learning, thinking, knowing, etc.140.76
Future tenseYou talk about the future often.125.07
Certainty66.08

Primordial, Conceptual and Emotional Content

Feature Description Score
Concreteness610.69
Audio sensations534.35
Constructive behaviors419.85
Social behavior267.18
Abstract thought267.18
Hard sensations152.67
Temporal References152.67
Affection114.5
Oral fixation114.5
Visual sensations76.34
Unknowning76.34
Moral imperative76.34


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
music 27 794
mvolpe 3810 9191
jenny8lee 1846 4999
tedchris 924 269915
tibbon 8487 2117
Created by Dan Zarrella © 2009 (45,063 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