Shanghai

 

Welcome to ASC 2018

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 2nd International Workshop on Affective and Sentimental Computing (ASC 2018) in conjunction with the 5th IEEE International Conference on Big data and smart Computing (BigComp 2018) 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 https://easychair.org/conferences/?conf=asc2018

 

To prepare the manuscript, the templates of IEEE proceedings are adopted in ASC 2018: http://www.ieee.org/web/publications/pubservices/confpub/AuthorTools/conferenceTemplates.html

 

 

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