“just watched cyberbully-- it's annoying. why would she kill herself? it's not worth it....
TRANSCRIPT
“Just watched cyberbully-- it's annoying. Why would she kill herself? It's not worth it. Life is shit so deal with it :P”
coded as negative
“All the best to the retired players suffering from CTE. Spread the word so we can make the game safer.”
coded as positive
“New LGBT Research Study on same sex weddings [link]”
coded as positive
Enthusiastic / Non-Supportive
(E-NS)
Enthusiastic / Supportive
(E-S)
Passive/ Non-Supportive
(P-NS)
Passive/ Supportive
(P-S)
Enthusiastic(E)
Passive(P)
Non
-Sup
porti
ve(N
S)Supportive
(S)
Create SentiNets DashboardUser Rankings User Networks Word Clouds Geo-location
Scores
Test Prediction on new dataLegalize Marijuana Legalize Prostitution
Train ClassifierEnthusiastic/Passive Supportive/Non-Supportive
Annotate Tweets using CodebookEnthusiastic/Passive Supportive/Non-Supportive
Build Codebook
Collect TweetsCTE in NFL Cyberbullying LGBT
Category Inter Coder Reliability Accuracy (SVM)
Enthusiastic v/s Passive 93 % 79.0749 %
Supportive v/s Non - Supportive 85 % 76.652 %
1500 Coded Tweets
Refined Codebook for Social Causes
Features used in classifier
# of Emoticons # of URLS # of Mentions # of Hashtags
Word Features # of Double Quotes
Length of Tweets
“Just watched cyberbully-- it's annoying. Why would she kill herself? It's not worth it. Life is shit so deal with it :P”
coded as Enthusiastic & Non-Supportive
“All the best to the retired players suffering from CTE. Spread the word so we can make the game safer.”
coded as Enthusiastic & Supportive
“New LGBT Research Study on same sex weddings [link]”
coded as Passive & Supportive
Confusion Matrices for sentiment classes for Legalize Marijuana and Legalize Prostitution
Node Color: HashTags or User
Node Size: OccurrenceLabel Size: Sentiment
Measure
Support
Sentiment based Networks for Global Warming
Enthusiasm
Label TypeWeight
TweetCount
EPCount
SNSCount EP_Class SNS_Class
Degree Top in Class
Sorted by Weights
damnitstrue USER 91 0 -91 -91 PASSIVE
NON_SUPPORTIVE 92
slone USER 51 0 -51 49 PASSIVE SUPPORTIVE 54 SUPPORTIVE
tcotHASHTAG 50 0 -48 44 PASSIVE SUPPORTIVE 56 SUPPORTIVE
Sorted by Number of Tweets
ElectedMob USER 9 9 -9 1 PASSIVE
NON_SUPPORTIVE 2
thomasj17431826 USER 7 6 5 -5
ENTHUSIASTIC SUPPORTIVE 11 ENTHUSIASTIC
NotCMBurns USER 6 6 2 6
ENTHUSIASTIC SUPPORTIVE 4 ENTHUSIASTIC
User Rankings in Sentiment based Networks for Global Warming
SENTINETS Enthusiasm and Support: Alternative Sentiment Classification for Social Movements on Social Media
Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin Phelps, Johna Picco, Jana Diesner
{ smishra8, sagarwa8, jguo24, kphelps, picco2, jdiesner }@illinois.eduiSchool at University of Illinois at Urbana-ChampaignMore details at: http://people.lis.illinois.edu/~smishra8/sentinets.php