TweetPsych uses two linguistic analysis algorithms (RID and LIWC) to build psychological profilea of people based on their Tweets. 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 For more information read the blog post or follow the creator Dan Zarrella

The Top Negative Emotions Tweeters.

Below are the users who's Tweets contain the most "Negative Emotions" content.

Top Tweeters		Tweets	Followers
	terai_nise	10193	242
	Luky_Marsh	7866	946
	ubu_chinchilla	19757	765
	sportsgeek09	4169	1939
	kura_	2869	166
	lanewspace	14465	582
	_chas_	9074	258
	OddTodd	708	1242
	bertilhjert	1933	14863
	kiryu176	6798	248
	San_JoseWeather	4816	1861
	MorenoVLYAlerts	4913	662
	Yuma_Weather	4291	342
	passionmetrics	1511	11426
	kansascityalert	5376	1331
	fox4	5521	2750
	tyado	5056	184
	Montpelier_WX	4196	316
	ca_nada	44762	1385
	SandyUtahAlerts	2563	277
	lisisilveira	21904	17094

Check out some other top lists:

.

• Anxiety
• Oral Fixation
• Work
• Positive Emotions
• Negative Emotions
• Social Behavior
• Sadness
• Sprituality
• Swears
• Sexual References
• Sleeping
• Sports
• Education
• Self Reference
• Money
• Entertainment

Created by Dan Zarrella © 2009 (165,128 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.