“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)

No

n-S

up

po

rtiv

e(N

S)Su

pp

ortive

(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 -

Supportive85 % 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

QuotesLength 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 UserNode Size: Occurrence

Label Size: Sentiment Measure

Support

Sentiment based Networks for Global Warming

Enthusiasm

Label Type WeightTweetCount

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

tcot HASHTAG 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

http://context.lis.illinois.edu

SENTINETSEnthusiasm 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.edu

iSchool at University of Illinois at Urbana-ChampaignMore details at: http://people.lis.illinois.edu/~smishra8/sentinets.php