Logout succeed
Logout succeed. See you again!

Modelling Valence and Arousal in Facebook Posts PDF
Preview Modelling Valence and Arousal in Facebook Posts
Modelling Valence and Arousal in Facebook Posts LyleUngar D.Preo¸tiuc-Pietro,H.A.Schwartz G.Park,J.Eichsteadt,M.Kern,E.Shulman PositivePsychologyCenter UniversityofPennsylvania 16June2016 Motivation DataSources Productreviews Affectivestates Opinionstowardsproducts, Feelingstowardsselfor restaurants,events,etc. others. Long,morestructured Short,lessstructured Modelsofproductsentimentandemotionshouldbedifferent Motivation Modelsofemotion DiscreteEmotions DimensionalModels MostpopularinNLPareEkman’s Eachaffectivestateisa sixemotions: anger,disgust,fear, combinationofreal-valued joysadness,surprise components Caucasian Facial Expressions of EmotionMatsumoto & Ekman - Japanese and MmTnvwaeoouleodsrnteoicnplped(ohR(epyoupusrseilsosaneelrdloni1egts9niimtc8tha0eel,nsPctyio)rssactnuenemmdr2sap:0rloe0xu5)s)al Someemotionsdrivenbysimilar words(hell,bad→sadness,fear, anger) Emotion Circumplex Source: Jonker & Van der Merwe - Emotion episodes of Afrikaans-speaking employees in the workplace Applications Goal: Automatedlarge-scalepsychologicalstudies • measuringtime-of-dayandday-of-weekmoodswings • andwhatcausesthem • mentalillnessdetection • bipolar,schizophrenicbreaks... • analysingmoviesandbooks • andhowtheyvaryinemotioncontent • correlatingwithexternaleffects • e.g. weather,sportsgameoutcomes,... Measuring Valence and Arousal • Valence(orsentimentorpolarity) • 1(verynegative)–5(neutral/objective)–9(verypositive) • Arousal(orintensity) • 1(neutral/objectivepost)–9(veryhighintensity) Examples Message V A Is the one whoz GOing to Light Up your 7 8 Day!!!!!!!!!!!! Blessedwithababyboytoday... 7.5 2 theboringlifeisback:(... 3 2.5 ISSUPERSTRESSEDANDITSJUSTTHESEC- 2.5 7 ONDMONTHOFSCHOOL..D: Exampleofpostsannotatedwithaveragevalence(V)andarousal(A) ratings. Data Source 3120Facebookposts Stratifiedby: • Age(13-35) • Gender(M/F) Eachmessagefromadistinctuser Allmessagesfromthesametimeinterval Annotation Twoannotators: • psychologystudents • receivedtraininginannotatingthesetraits,including anchoring • nodistractionsthatmayaffecttheymood(music,etc.) Messagesareun-ratableiftheyarenotinEnglishorcontainno cues • 235messages(∼7.5%) • CohensKappaκ=.93 Annotation Results 900 500 700 mber of posts500 mber of posts300 Nu300 Nu 100 100 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 Valence Arousal Valence Arousal Histogramsofaverageratingscores. Valence–Arousal→r = 0.222 Valence–Arousal→r = 0.085(ignoringneutralposts)