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Do you feel what I feel?
Social Aspects of Sentiments and Emotions in
Twitter Conversations
Submitted to CHI 2012 & NIPS Workshop on Computational Social Science
by Suin Kim, Jinyeong Bak, Yohan Jo, and Alice Oh
alice.oh@kaist.edu
http://uilab.kaist.ac.kr
Attending ACL 2012?                        8~13 hr flight
Come to KAIST!
              ICN Seoul
                                                            JFK
  150-min express bus
                          55-min high-speed train           IAD
                        KAIST (Daejeon)                     ATL
                                                            ORD
        1-hr flight                                         SFO
                         45-min flight                      SEA
                                                            LAX


             Jeju (ACL)
Users & Information Lab at KAIST

• Topic Modeling


• Sentiment Analysis


• Social Media Analysis
Social Aspects of Emotions: Research Questions

• How do we communicate our emotions?


• How do we influence other people’s emotions?
Social Aspects of Emotions: Data

     • Twitter conversation data: approx 200k dyads who “reply” to each other

!
    "!                                    $!




    #!                                    %!
Social Aspects of Emotions: Model

    Aspect Sentiment                       topic            positive            negative
    Unification Model
    (Yohan Jo & Alice Oh, WSDM                         great featur good comput sync media
    2011)                                              screen love listen  cd transfer load
                                         mp3 player
                                                        better new well   album playlist time
                     α           γ                       sound record     format drag folder
                                            Table 1: great good nice the notations used in t
                                                      Meanings of
                                 π          els                         onli park slow suck
                     θ                              attent excel experi
                                         restaurant D                     bad horribl
                                                              the number of reviews just
                                                     atmospher amaz
                                           service M                    complaint star
                                                              the number of sentences rude
                                                     help top awesom
        β            z           s                  N                        terribl
                                                              the number of words long
                                                           quick
                                                      T           the number of aspects
                         w                                                    macbook appl
       φ                                              S bright view clear
                                                                  the number of sentiments
                                                                             reflect glare matt
                                          laptop      V resolut see nice
                                                                  the vocabulary size
        T                    N                                               new pro problem
D           S                    M
                                     D
                                          screen      w  led small good
                                                                  word         firewir machin
                                                      z sharp read crisp
                                                                  aspect
                (b) ASUM                                                          laptop issu
                                                      s           sentiment
al representation of SLDA and                         φ           multinomial distribution over word
Social Aspects of Emotions: Defining Emotions

         Primary     Secondary Emotion                               research, we
         Emotion                                                     jectives for e
          Love       Affection, Lust, Longing                        gory, which i
           Joy       Cheerfulness, Zest, Contentment, Pride,         fer. The prob
                     Optimism, Enthrallment, Relief                  topic t is
          Surprise   Surprise
           Anger     Irritation, Exasperation, Rage, Disgust,
                     Envy, Torment
          Sadness    Suffering, Sadness, Disappointment,
                     Shame, Neglect
           Fear      Horror, Nervousness

              Table 3. Parrot’s tree-structured list of emotions     Out of the 10
                                                                     category is st
     Emotion Transition
     We will look how emotions are transited in Twitter conversa-
     tions. Emotions are based on Parrot’s tree-structured list of         Factor
     emotions. Topics we found from the model are hand-tagged
Social Aspects of Emotions: Research Questions

• How do we communicate our emotions?
   • Use ASUM on Twitter conversations to discover the “topics” that
     represent the +/n/- sentiments and the six primary emotions
   • Analyze the proportions of the total tweets for the sentiments and
     emotions
• How do we influence other people’s emotions?
   • Analyze the sentiment and emotion transitions of the tweets
   • Look for topics that change the sentiments and emotions of the
     conversation partners
   • Find interesting patterns of sentiment and emotion topic pairs
sure                                                don’t
 great
 hey        xx     morning   :P   hope             didn’t
                                                       man
                                                          :( lmao
                                                               work

:)          0.63
                                                        never              bad only :/
                                                0.24
haha               Positive                                     Negative       0.48
 very               48.5%                       0.36             32.1%
nice :-)                                                                      shit
                                                                           sorry
     cool                                                                        off
                                         0.35          0.27

<3
   thank              okay
                                                                0.16
                                  0.13
                                 way     Neutral
                                   money 19.4% say team
                        tomorrow
                                                     want
                              people                          phone
                                                 0.38
                        twitter     day                   song
Emotion Topics
     Joy                   Sadness               Love
     Topic 31   Topic 40   Topic 99   Topic 86   Topic 1     Topic 3
     day        happy      hope       :’(        her         twitter
     hope       birthday   sorry      miss       smiles      justin
     morning    th         better     him        laughs      follow
     great      hahaha     feel       sorry      eyes        selena
     weekend    year       soon       want       want        fan
     Topic 23   Topic 46   aww        sad        Topic 47    Topic 9
     party      thank      okay       wish       school      pic
     home       much       hugs       wanna      luck        hair
     fun        very       feeling    much       exam        look
     tomorrow   hope       happened   cry        tomorrow    nice

     Fear                  Anger                 Surprise
     Topic 60   Topic 87   Topic 95   Topic 59   Topic 18    Topic 30
     :/         dont       eat        she        song        where
     school     lmao       want       :(         album       live
     tomorrow   tell       food       car        music       here
     exam       want       chicken    were       new         same
     year       him        hungry     off        her         awesome
     doing      her        Topic 73   home       she         Topic 68
     much       please     she        her        amazing     she
     day        face       hate       phone      listening   old
     next       who        being      house      awesome     than
     maths      omg        never      night      great       look
Emotion Transitions


                                0.19
        0.68         Love                Fear         0.46

                                                     0.11
               0.1                            0.11
                                       0.16
                                0.11
0.55   Anger           0.11
                                                     Sadness   0.4


          0.12                0.14                   0.11


       0.65          Joy               Surprise        0.64
                                 0.1
Defining “Influence”


            Sliding Window
               Having a tough day
                                                        Not really religious,
   User A    today. RIP Harrison. I’ll                                                         Time
                                                        but thanks man. :)
                miss you a ton :/
                                                             (Positive)
                  (Negative)
                                    Just pray about it.                           If you need talk
   User B                          God will help you.                           you know I’m here.
Positive → Positive    Positive → Negative
              Topic 16    Topic 19   Topic 17   Topic 38
              follow      heart      lmao       :(
              thank       xD         ur         school
              please      big        ass        exam
              followed    kisses     lol        tomorrow
              welcome     much       shit       year
Topics that   Topic 8     Topic 21   Topic 48   Topic 54
              thank       morning    weather    sleep
Influence     :D          day        rain       work
              much        hope       :(         still
Sentiment     very        hello      hot        awake
              welcome     happy      cold       tired

              Negative → Positive    Negative → Negative
              Topic 44    Topic 47   Topic 72   Topic 42
              hope        today      shit       off
              better      week       bro        still
              sorry       still      da         bad
              feel        feel       chillin    feel
              soon        work       nigga      down
              Topic 59    Topic 37   Topic 49   Topic 32
              home        money      game       ur
              want        buy        lmao       loool
              house       want       shit       lool
              sleep       had        team       looool
              bed         pay        win        man
Topics that Influence Emotions


   Anger → Joy               Sadness → Joy            Surprise

      Topic 23   Topic 17     Topic 81   Topic 99      →Love     →Anger
      day        eat          better     hope       Topic 18    Topic 79
      night      food         feel       sorry      song        song
      party      cream        hope       better     album       shit
      home       make         pain       feel       amazing     new
      fun        chocolate    sick       soon       listening   lmao
      come       drink        :(         hugs       great       never
      Topic 23
      night      dr
      party      Topic 46
      home       :)
      fun        thank
      tomorrow   much
                 very
                 hope
Interesting Sentiment Dyad Patterns:
Complaint-Apology

  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.
Email me for collaborations, data exchanges,
student exchanges, visiting Korea

alice.oh@kaist.edu
http://uilab.kaist.ac.kr

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Social Aspects of Emotions in Twitter Conversations

  • 1. Do you feel what I feel? Social Aspects of Sentiments and Emotions in Twitter Conversations Submitted to CHI 2012 & NIPS Workshop on Computational Social Science by Suin Kim, Jinyeong Bak, Yohan Jo, and Alice Oh alice.oh@kaist.edu http://uilab.kaist.ac.kr
  • 2. Attending ACL 2012? 8~13 hr flight Come to KAIST! ICN Seoul JFK 150-min express bus 55-min high-speed train IAD KAIST (Daejeon) ATL ORD 1-hr flight SFO 45-min flight SEA LAX Jeju (ACL)
  • 3. Users & Information Lab at KAIST • Topic Modeling • Sentiment Analysis • Social Media Analysis
  • 4. Social Aspects of Emotions: Research Questions • How do we communicate our emotions? • How do we influence other people’s emotions?
  • 5. Social Aspects of Emotions: Data • Twitter conversation data: approx 200k dyads who “reply” to each other ! "! $! #! %!
  • 6. Social Aspects of Emotions: Model Aspect Sentiment topic positive negative Unification Model (Yohan Jo & Alice Oh, WSDM great featur good comput sync media 2011) screen love listen cd transfer load mp3 player better new well album playlist time α γ sound record format drag folder Table 1: great good nice the notations used in t Meanings of π els onli park slow suck θ attent excel experi restaurant D bad horribl the number of reviews just atmospher amaz service M complaint star the number of sentences rude help top awesom β z s N terribl the number of words long quick T the number of aspects w macbook appl φ S bright view clear the number of sentiments reflect glare matt laptop V resolut see nice the vocabulary size T N new pro problem D S M D screen w led small good word firewir machin z sharp read crisp aspect (b) ASUM laptop issu s sentiment al representation of SLDA and φ multinomial distribution over word
  • 7. Social Aspects of Emotions: Defining Emotions Primary Secondary Emotion research, we Emotion jectives for e Love Affection, Lust, Longing gory, which i Joy Cheerfulness, Zest, Contentment, Pride, fer. The prob Optimism, Enthrallment, Relief topic t is Surprise Surprise Anger Irritation, Exasperation, Rage, Disgust, Envy, Torment Sadness Suffering, Sadness, Disappointment, Shame, Neglect Fear Horror, Nervousness Table 3. Parrot’s tree-structured list of emotions Out of the 10 category is st Emotion Transition We will look how emotions are transited in Twitter conversa- tions. Emotions are based on Parrot’s tree-structured list of Factor emotions. Topics we found from the model are hand-tagged
  • 8. Social Aspects of Emotions: Research Questions • How do we communicate our emotions? • Use ASUM on Twitter conversations to discover the “topics” that represent the +/n/- sentiments and the six primary emotions • Analyze the proportions of the total tweets for the sentiments and emotions • How do we influence other people’s emotions? • Analyze the sentiment and emotion transitions of the tweets • Look for topics that change the sentiments and emotions of the conversation partners • Find interesting patterns of sentiment and emotion topic pairs
  • 9. sure don’t great hey xx morning :P hope didn’t man :( lmao work :) 0.63 never bad only :/ 0.24 haha Positive Negative 0.48 very 48.5% 0.36 32.1% nice :-) shit sorry cool off 0.35 0.27 <3 thank okay 0.16 0.13 way Neutral money 19.4% say team tomorrow want people phone 0.38 twitter day song
  • 10. Emotion Topics Joy Sadness Love Topic 31 Topic 40 Topic 99 Topic 86 Topic 1 Topic 3 day happy hope :’( her twitter hope birthday sorry miss smiles justin morning th better him laughs follow great hahaha feel sorry eyes selena weekend year soon want want fan Topic 23 Topic 46 aww sad Topic 47 Topic 9 party thank okay wish school pic home much hugs wanna luck hair fun very feeling much exam look tomorrow hope happened cry tomorrow nice Fear Anger Surprise Topic 60 Topic 87 Topic 95 Topic 59 Topic 18 Topic 30 :/ dont eat she song where school lmao want :( album live tomorrow tell food car music here exam want chicken were new same year him hungry off her awesome doing her Topic 73 home she Topic 68 much please she her amazing she day face hate phone listening old next who being house awesome than maths omg never night great look
  • 11. Emotion Transitions 0.19 0.68 Love Fear 0.46 0.11 0.1 0.11 0.16 0.11 0.55 Anger 0.11 Sadness 0.4 0.12 0.14 0.11 0.65 Joy Surprise 0.64 0.1
  • 12. Defining “Influence” Sliding Window Having a tough day Not really religious, User A today. RIP Harrison. I’ll Time but thanks man. :) miss you a ton :/ (Positive) (Negative) Just pray about it. If you need talk User B God will help you. you know I’m here.
  • 13. Positive → Positive Positive → Negative Topic 16 Topic 19 Topic 17 Topic 38 follow heart lmao :( thank xD ur school please big ass exam followed kisses lol tomorrow welcome much shit year Topics that Topic 8 Topic 21 Topic 48 Topic 54 thank morning weather sleep Influence :D day rain work much hope :( still Sentiment very hello hot awake welcome happy cold tired Negative → Positive Negative → Negative Topic 44 Topic 47 Topic 72 Topic 42 hope today shit off better week bro still sorry still da bad feel feel chillin feel soon work nigga down Topic 59 Topic 37 Topic 49 Topic 32 home money game ur want buy lmao loool house want shit lool sleep had team looool bed pay win man
  • 14. Topics that Influence Emotions Anger → Joy Sadness → Joy Surprise Topic 23 Topic 17 Topic 81 Topic 99 →Love →Anger day eat better hope Topic 18 Topic 79 night food feel sorry song song party cream hope better album shit home make pain feel amazing new fun chocolate sick soon listening lmao come drink :( hugs great never Topic 23 night dr party Topic 46 home :) fun thank tomorrow much very hope
  • 15. Interesting Sentiment Dyad Patterns: Complaint-Apology 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.
  • 16. Email me for collaborations, data exchanges, student exchanges, visiting Korea alice.oh@kaist.edu http://uilab.kaist.ac.kr

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