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1
Characterizing and predicting postpartum depression from facebook data.
In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/FB-cscw2014.pdf (2014)
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2
Happy, Nervous or Surprised? Classification of Human Affective States in Social Media
In: http://www.munmund.net/pubs/icwsm_12_2.pdf
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3
Not All Moods are Created Equal! Exploring Human Emotional States in Social Media
In: http://www.munmund.net/pubs/icwsm_12_1.pdf
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4
“Moon Phrases”: A Social Media Faciliated Tool for Emotional Reflection and Wellness
In: http://www.munmund.net/pubs/PH_13.pdf
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5
Characterizing and Predicting Postpartum Depression from Shared Facebook Data
In: http://www.munmund.net/pubs/cscw_14_1.pdf
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6
Characterizing Smoking and Drinking Abstinence from Social Media
In: http://www.cc.gatech.edu/%7Edchau/papers/15-ht-relapse.pdf
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7
DynamicPrediction of Communication Flow Using Social Context
In: http://www.munmund.net/pubs/ht_1_08.pdf
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8
Predicting Depression via Social Media
In: http://research.microsoft.com/en-us/um/People/horvitz/depression_social_media_icwsm_2013.pdf
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9
Predicting Postpartum Changes in Emotion and Behavior via Social Media
In: http://research.microsoft.com/en-us/um/People/horvitz/predicting_postpartum_changes_chi_2013.pdf
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10
Major Life Changes and Behavioral Markers in Social Media: Case of Childbirth
In: http://research.microsoft.com/en-us/um/people/counts/pubs/childbirth-changes-CSCW2013.pdf
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11
Major Life Changes and Behavioral Markers in Social Media: Case of Childbirth
In: http://research.microsoft.com/%7Ehorvitz/cscw_2013_childbirth.pdf
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12
Anorexia on Tumblr: A Characterization Study
In: http://course.duruofei.com/wp-content/uploads/2015/05/Choudhury_AnorexiaOnTumblr_DH2015.pdf
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