Abstract is missing.
- Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle Ungar. 1-11 [doi]
- Scalable Privacy-Compliant Virality Prediction on TwitterDamian Konrad Kowalczyk, Jan Larsen. 12-27 [doi]
- Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in MoviesTanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar. 28-38 [doi]
- The CL-Aff Happiness Shared Task: Results and Key InsightsKokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle Ungar. 39-49 [doi]
- Happy Together: Learning and Understanding Appraisal From Natural LanguageArun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed. 50-59 [doi]
- Adversarial and Cooperative Correlated Domain Adaptation based Multimodal Emotion RecognitionJielin Qiu Xiaoshi Chen, Kai Hu. 60-71 [doi]
- Emotional Experience of Students Interacting with a System for Learning ProgrammingThomas James Z. Tiam-Lee, Kaoru Sumi. 72-79 [doi]
- Audio Sentiment Analysis by Heterogeneous Signal Features Learned from Utterance-Based Parallel Neural NetworkZiqian Luo, Hua Xu, Feiyang Chen. 80-87 [doi]
- A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and EmoticonsDa Li, Rafal Rzepka, Michal Ptaszynski, Kenji Araki. 88-103 [doi]
- Word Pair Convolutional Model for Happy Moment ClassificationMichael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda. 111-119 [doi]
- Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transferBakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta 0001, Vasudeva Varma. 120-128 [doi]
- CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happinessGeetanjali Rakshit, JiaQi Wu, Ryan Compton 0002, Marilyn A. Walker, Pranav Anand, Steve Whittaker. 129-139 [doi]
- Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment AnalysisBaohua Sun, Lin Yang, Catherine Chi, Wenhan Zhang, Michael Lin. 140-151 [doi]
- What Constitutes Happiness? Predicting and Characterizing the Ingredients of Happiness Using Emotion Intensity AnalysisRaj Kumar Gupta, Prasanta Bhattacharya, Yinping Yang. 152-163 [doi]
- Happiness Ingredients Detection using Multi-Task Deep LearningWeizhao Xin, Diana Inkpen. 164-170 [doi]
- CL-Aff Deep semisupervised clusteringJohnny Torres, Carmen Vaca. 171-180 [doi]
- Modeling Happiness Using One-Class AutoencoderByung-Chull Bae, Yun-Gyung Cheong, Youngrok Song. 181-190 [doi]
- IoH-RCNN: Pursue the Ingredients of Happiness using Recurrent Convolutional Neural NetworksBashar Talafha, Mahmoud Al-Ayyoub. 191-197 [doi]
- Affective Content Classification using Convolutional Neural NetworksDaniel Claeser. 198-207 [doi]