AffCon 2019
2nd Workshop on Affective Content Analysis

Table of Contents

• Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019 1-11
  Niyati Chhaya, Kokil Jaidka, Atanu Sinha, Lyle Ungar

Session 1

• (keynote) Identifying Affective Events and the Reasons for their Polarity
  Ellen Riloff
• (Best paper) Scalable Privacy-Compliant Virality Prediction on Twitter 12-27
  Damian Kowalczyk, Jan Larsen
• Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies 28-38
  Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar

Session 2

• (keynote) Affective Search: Helping Users Create Positive Experiences
  Alon Halevy
• The CL-Aff Happiness Shared Task: Results and Key Insights 39-49
  Kokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle Ungar
• (poster) (Best System, CL-Aff Shared Task 2019) Happy Together: Learning and Understanding Appraisal From Natural Language 50-59
  Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed

Session 3

• (keynote) Grounded Emotions
  Rada Mihalcea
• Adversarial and Cooperative Correlated Domain Adaptation based Multimodal Emotion Recognition 60-71
  Jielin Qiu Xiaoshi Chen, Kai Hu
• (poster) Emotional Experience of Students Interacting with a System for Learning Programming (short paper) 72-79
  Thomas James Tiam-Lee, Kaoru Sumi
• (poster) Audio Sentiment Analysis by Heterogeneous Signal Features Learned from Utterance-Based Parallel Neural Network (short paper) 80-87
  Ziqian Luo, Hua Xu, Feiyang Chen
• (poster) A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and Emoticons 88-103
  Da Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki

Session 4

• (keynote) Using Social Media Language to Understand Empathy and Stress
  Lyle Ungar
• (poster) (Runner-up for Best System, CL-Aff Shared Task 2019) Word Pair Convolutional Model for Happy Moment Classification (short paper) 111-119
  Michael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda
• (poster) (Runner-up for Best System, CL-Aff Shared Task 2019) Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer (short paper) 120-128
  Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma
• (poster) CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness 129-139
  Geetanjali Rakshit, Jiaqi Wu, Ryan Compton, Marilyn Walker, Pranav Anand, Steve Whittaker
• (poster) Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis (short paper) 140-151
  Baohua Sun, Lin Yang, Catherine Chi, Wenhan Zhang, Michael Lin
• (poster) What Constitutes Happiness? Predicting and Characterizing the Ingredients of Happiness Using Emotion Intensity Analysis 152-163
  Raj Kumar Gupta Prasanta Bhattacharya, Yinping Yang
• (poster) Happiness Ingredients Detection using Multi-Task Deep Learning (short paper) 164-170
  Weizhao Xin, Diana Inkpen
• (poster) CL-Aff Deep semisupervised clustering 171-180
  Johnny Torres, Carmen Vaca
• (poster) Modeling Happiness Using One-Class Autoencoder 181-190
  Byung-Chull Bae, Yun Gyung Cheong, Youngrok Song.
• (poster) IoH-RCNN: Pursue the Ingredients of Happiness using Recurrent Convolutional Neural Networks (short paper) 191-197
  Bashar Talafha, Mahmoud Al-Ayyoub
• (poster) Affective Content Classification using Convolutional Neural Networks 198-207
  Daniel Claeser
• (keynote) Beyond Detection and Computation of Affect: Interpretation and Decision
  Atanu Sinha