Welcome to ASC 2019

As the rapid growth of user-generated data from social networks, wikis and social tagging systems, it is necessary to understand the high-level semantics and user subjective perceptions from such a large volume of data. Emotions or sentiments are one of the most important aspects as the user-generated data are always with emotional loads of their creators. Along with the development of the computational techniques for sentiment analysis and opinion mining, the increasing psychological and cognitive models/theories are exploited for modeling sentiments and emotions by incorporating with social computing techniques such as social network and personalization, mining user reviews, user profiling in social network and so on. Connecting affective/sentimental models and social computing techniques not only can facilitate the understanding big data in at semantic-levels but also improve the performance of various social computing applications in the big data era. It combines affective/sentimental models with social computing as a promising direction and offers opportunities for developing novel algorithms, methods and tools.


The 3rd International Workshop on Affective and Sentimental Computing (ASC 2019) in conjunction with the 6th IEEE International Conference on Big data and smart Computing (BigComp 2019) will bring together the academia, researchers, and industrial practitioners from computer science, information systems, psychology, behavior science, and organization science discipline, and provide a forum for recent advances in the field of sentiment analysis, affective computing, emotion detections, and opinion mining from the perspectives of various computing techniques.


Topics of interest include, but are not limited to the exploitation of the affective/sentimental models from psychology and cognitive sciences for big data, the identification of emotions/sentiments underlying big data for efficient algorithms for big data management, and the application of affective/sentimental models with social computing techniques in research fields related to (but not limited):

- Sentiment identification & classification
- Emotion identification & classification
- Opinion and sentiment summarization
- Sentiment analysis for social media
- Affective computing for social media
- Time evolving sentiment & emotion analysis
- Knowledge management for affective computing
- Concept-level sentiment analysis
- Social media and social network analysis
- Affective/Sentimental computing for e-learning
- Affective/Sentimental computing for financial data mining
- Affective/Sentimental computing for e-commerce
- Natural language processing techniques for affective computing
- Social ranking
- Social network analysis
- Social tagging analysis
- Affective/Sentimental computing for user modeling
- Data mining algorithms for affective computing
- Big social data analysis
- Information fusion for affective computing


We invite submissions in two categories:

- regular research papers describing completed work or theoretical contributions (up to 8 pages);
- short papers (work-in-progress) (up to 4 pages).


The submission site is


To prepare the manuscript, the templates of IEEE proceedings are adopted in ASC 2019:



PC Members

- Raymong Y. K. Lau, City University of Hong Kong, Hong Kong
- Ke Li, University of Exeter, UK
- Chung Keung Poon, Caritas Institute of Higher Education, Hong Kong
- Jianfeng Si, Institute for Infocomm Research, Singapore
- Xi Tan, Purdue University, USA
- Wenji Ma, Columbia University, USA
- Yunhui Zhuang, City University of Hong Kong, Hong Kong
- Debby Dan Wang, National University of Singapore, Singapore
- Xudong Mao, City University of Hong Kong, Hong Kong
- Di Zou, The Education University of Hong Kong, Hong Kong
- Zhiwen Yu, South China University of Technology, China
- Yi Cai, South China University of Technology, China
- Yanghui Rao, Sun Yat-sen University, China
- Wenjuan Cui, China Academy of Sciences, China
- Raymond Wong, UNWS, Australia
- Tao Wang, Southampton University, UK
- Gualiang Chen, TU Delft, Netherland
- Ling Luo, Sun Yat-Sen University, China




Room North 28, Yoshida-South Campus Academic Center Building, North Wing




The Joint Workshop of IWDS 2019 and ASC 2019

The 2nd International Workshop on Dialog Systems (IWDS 2019)

The 3rd International Workshop on Affective and Sentimental Computing (ASC 2019)


Workshop Chairs:

Young-Seob Jeong (Soonchunhyang University, South Korea)

Tak-Lam Wong (Douglas College, Canada)

Jonghwan Hyeon (KAIST, South Korea)

Ho-Jin Choi (KAIST, South Korea)







Chairs welcome speech


Invited talk: Monaural Speech Segregation Using Pitch Classification Based on Bidirectional LSTM with Probabilistic Attention

Han-Gyu Kim

(Researcher, Naver, South Korea)


Coffee Break


Session 1

[ASC] Detecting Basic Level Categories by Term Weighting and Feature Entropy

Junze Li, Qing Du, Yi Cai and Jialin Wu

(South China University of Technology, People's Republic of China)


[IWDS] Augmentative and Alternative Communication System Using Information Priority and Retrieval

Yoonseok Heo and Sangwoo Kang

(Gachon University, South Korea)


[IWDS] Korean Time Information Analysis of Hierarchical Annotation Rules from Natural Language Text

Chae-Gyun Lim and Ho-Jin Choi

(KAIST, South Korea)


[IWDS] Automatic Speech Recognition Dataset Augmentation with Pre-Trained Model and Script

Minsu Kwon and Ho-Jin Choi

(KAIST, South Korea)




Session 2

[ASC] Word Embedding Method of SMS Messages for Spam Messge Filtering

Hyun-Young Lee and Seung-Shik Kang

(Kookmin University, South Korea)


[IWDS] Word-level Emotion Embedding based on Semi-Supervised Learning for Emotional Classification in Dialogue

Young-Jun Lee, Chan-Yong Park and Ho-Jin Choi

(KAIST, South Korea)


[IWDS] Improving Response Quality in a Knowledge-Grounded Chat System Based on a Sequence-to-Sequence Neural Network

Sihyung Kim1, Harksoo Kim1, Oh-Woog Kwon2 and Young-Gil Kim2

1 (Kangwon National University, South Korea)

2 (Electronics and Telecommunications Research Institute(ETRI), South Korea)


[ASC] Scenery-based Fashion Recommendation with Cross-Domain Geneartive Adverserial Networks

Sang Yeong Jo, Sun-Hye Jang, Hee-Eun Cho and Jin-Woo Jeong

(Kumoh National Institute of Technology, South Korea)


Closing Remarks