TweetPysch: seeminglee / 2009-09-03 / SML

tweetpsych.com/?name=seeminglee

 

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.

 

TweetPysch is created by Dan Zarella.

 

For more information, check out the webapp's blog post.

 

SML TweetPysch Profile

 

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

+ Time: 38.16

+ Cognitive proceeses: 35.99

+ Occupation & work: 21.81

+ Insight: 21.41

+ Similes: 17.88

+ Motion: 5.6

 

Primordial, Conceptual and Emotional Content

+ Abstract thought: 82.93

+ Temporal References: 44.96

+ Social behavior: 26.62

+ Visual sensations: 22.58

+ Glory: 18.1

+ Moral imperative: 12.51

+ Affection: 11.44

+ Positive affect: 9.01

 

Related SML

+ SML Twitter

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