Do you feel what I feel?Social Aspects of Emotions in Twitter Conversations

Suin Kim, JinYeong Bak, Yohan Jo and Alice OhDepartment of Computer Science

KAIST, Daejeon, South Koreasuin.kim@kaist.ac.kr, {jy.bak, yohan.jo}@kaist.ac.kr, alice.oh@kaist.edu

Research Questions• Do conversational partners influence each other’s sentiment

and emotion?• What topics can affect conversational partner’s sentiment?• How can we find sentiments and emotions from text?

Our Work1. Emotion discovery using a probabilistic topic model2. Analysis of sentiment and emotion transition patterns3. Identification of major topics that cause emotion influence #Users #Dyads #Chains #Tweets Tweets per chain

62,952 77,850 153,054 871,544 5.69

Conversation DataWe define consecutive replies of tweets using the reply button as a chain.Only chains of length >= 4 are considered.

Contributions• Interlocutors converge toward a common sentiment/emotion as

conversation proceeds.• Twitter users express lots of love and joy even when the partner

expresses a negative emotion.• Sympathy, apology, and complaining influence emotion.

A: Sorry to hear about your bags. If you would like us to get someone to contact you DM us your reference and contact number.

B: it’s on it’s way to manch. If the woman on the check in desk in Miami hadn’t been trying to be all smart! Been no problem.

A: Sorry about that. Pleased to hear they located it quickly for you though.

B: mistakes happen.■Apology ■Complaint

Sentiment Patterns in Conversations• Interlocutors tend to converge toward a common sentiment as conversation proceeds.

• What if two interlocutors have opposing sentiments?Overall sentiment of u in conversation v: Emotions in sentiment-opposing conversations

• Agony - Sympathy• Complaint - Apology

Senti(u, v) =pu,v � nu,v

pu,v + nu,v

Example of sentiment-opposing conversation

ASUM

A B1

2

3

4

A B1

2

3

4

Conv

ersa

tion

corp

us

Sentiment seed words:) :D XD (: :-) =) :)) :] =D =] :-D 8) :p

:( :/ ): :’( :S =/ :-( =( :-/ :(( ]: :\ /:

Positive Negative

+

Topic 18songalbummusicnewhersheamazinglisteningawesomegreat

Topic 8thank:DmuchverywelcomeTopic 21morningdayhopehello

Topic 59she:(carwereoffhomeherphonehousenight

Topic 95eatwantfoodchickenhungryTopic 73shehatebeingnever

Thank you very much. :D

Topic 8, Positive

Topics pereach sentiment

Sentiment-Topic classification

Sentiment-Topicdistribution

0

1

Positive Negative

0

0.6

Topics

A B1

2

3

4

Finding Conversational Topics Using ASUM (LDA-based joint model of topics and sentiments)ASUM automatically discovers topics for each sentiment.

TwitterConversation

Tweet

http://uilab.kaist.ac.kr

Social Aspects of SentimentsQ: How does the sentiment in a tweet lead to the sentiment in the reply? : Sentiment transition

0.24

0.36

0.35

0.13

0.270.16

Neutral19.4%

0.63

0.38

0.48

xx:)

thanknicevery

<3

haha

:-)

okay

:( lmao

shit

didn’tman

don’t

bad :/

sorry

people phonedaytwitter song

wantteam

money

cool

morninggreat

never

workhey

off

hopesure :P

waysaytomorrow

only

Negative32.1%

Positive48.5%

User A

User B

Having a tough day today. RIP Harrison. I’ll

miss you a ton :/

Just pray about it. God will help you.

Not really religious, but thanks man. :)

If you need talk you know I’m here.

Time

Sliding Window

(Negative) (Positive)

Analyzing sentiment transition by sliding window method

Positive → Negative

Topic 17lmaourasslolshitTopic 48weatherrain:(hotcold

Topic 38:(schoolexamtomorrowyearTopic 54sleepwork stillawaketired

Positive → Positive

Topic 16followthankpleasefollowedwelcomeTopic 8thank:Dmuchverywelcome

Topic 19heartxDbigkissesmuchTopic 21morningdayhopehellohappy

Negative → Positive

Topic 44hopebettersorryfeelsoonTopic 59homewanthousesleepbed

Topic 47todayweekstillfeelworkTopic 37moneybuywanthadpay

Negative → Negative

Topic 72shitbrodachillinniggaTopic 49gamelmaoshitteamwin

Topic 42offstillbadfeeldownTopic 32urlooolloolloooolman

SympathySwear

MockingTeasing

ComplaintGreeting

Topics that influence the conversational partner’s sentiment

Q: How does the sentiment and the topic of a tweet influence the partner’s sentiment? : Sentiment influence

A: ① Self-transitions make up the largest proportion. ② Transitions to positive sentiments are high.

Primary Secondary & Tertiary

Love Affection, Lust, Longing, Adoration, Fondness, Liking, Arousal, Desire, Infatuation, Longing, ..

Joy Cheerfulness, Zest, Contentment, Pride, Optimism, Enthrallment, Relief Amusement, ...

Surprise Surprise Amazement, Astonishment

Anger Irritability, Exasperation, Rage, Disgust, Envy, Torment Aggravation, Agitation, Annoyance, ...

Sadness Suffering, Sadness, Disappointment, Shame, Neglect, Sympathy Agony, Anguish, ...

Fear Horror, Nervousness Alarm, Shock, Fear, Horror, Terror, Panic, Hysteria, Anxiety, ...

Parrott’s tree-structured list of emotion

Social Aspects of Emotions

Finding emotions from tweets0.19

0.110.11

0.16

0.11

0.11

0.1

0.120.14

0.1

0.11

Love Fear

Sadness

SurpriseJoy

Anger

0.68

0.55

0.65 0.64

0.4

0.46

• Corr measures correlation between emotion c and topic t.

• Spec measures specialization of certain emotion for topic t.

Topics with high Spec score will be classified as emotion topics.

Spec(t) =

maxc Corr(c, t)Pc Corr(c, t)�maxc Corr(c, t)

Corr(c, t) =�c

nc

ncX

i=1

P (wi|�t)Sadness → JoyAnger → Joy SurpriseTopic 81betterfeelhopepainsick:(

Topic 99hopesorrybetterfeelsoonhugs

Topic 23daynightpartyhomefuncome

Topic 17eatfoodcreammakechocolatedrink

→LoveTopic 18songalbumamazinglisteninggreat

→AngerTopic 79songshitnewlmaonever

Emotion topics

0

0.6

Low Spec 0

0.8

High Spec

Q: How does the emotion and the topic of a tweet influence the partner’s emotion? : Emotion influence

Q: How does the emotion in a tweet lead to the emotion in the reply? : Emotion transition

SadnessTopic 99hopesorrybetterfeelsoonawwokayhugsfeelinghappened

Topic 86:’(misshimsorrywantsadwishwannamuchcry

JoyTopic 31dayhopemorninggreatweekendTopic 23partyhomefuntomorrow

Topic 40happybirthdaythhahahayearTopic 46thankmuchveryhope

LoveTopic 1hersmileslaughseyeswantTopic 47schoolluckexamtomorrow

Topic 3twitterjustinfollowselenafanTopic 9pichairlooknice

FearTopic 60:/schooltomorrowexamyeardoingmuchdaynextmaths

Topic 87dontlmaotellwanthimherpleasefacewhoomg

AngerTopic 95eatwantfoodchickenhungryTopic 73shehatebeingnever

Topic 59she:(carwereoffhomeherphonehousenight

SurpriseTopic 18songalbummusicnewhersheamazinglisteningawesomegreat

Topic 30whereliveheresameawesomeTopic 68sheoldthanlook