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 |
| Sexual references | 54.35 | |
| Education | You often talk about school and learning. | 48.45 |
| Positive emotions | You express plenty of positive emotions. | 20.25 |
| Positive Feelings | You often discuss positive sensations and feelings. | 8.08 |
| Groom | 5.03 |
Primordial, Conceptual and Emotional Content
| Feature | Description | Score |
| General Sensation | 35.66 | |
| Expressive Behavior | 11.95 | |
| Social behavior | 2.22 | |
| Glory | 1.64 |
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 | |
| simonh101 | 1382 | 64 | |
| thew | 1237 | 216 | |
| NickMcLaren | 2128 | 126 | |
| grumblemouse | 5285 | 879 | |
| davehull | 3066 | 543 | |
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