Submissions are invited for MABSDA (http://sentic.net/mabsda), the WWW13 workshop on sentiment analysis and big social data mining, to be held this May in Rio de Janeiro, Brazil. The workshop aims to explore the new frontiers of big data computing for opinion mining through Semantic Web ontologies, rules, and services, Linked Data technologies, Web Science applications, knowledge-based systems, adaptive and transfer learning, in order to more efficiently retrieve and extract social information from the Web.
ABSTRACT As the Web rapidly evolves, Web users are evolving with it. In an era of social connectedness, people are becoming more and more enthusiastic about interacting, sharing, and collaborating through social networks, online communities, blogs, Wikis, and other online collaborative media. In recent years, this collective intelligence has spread to many different areas, with particular focus on fields related to everyday life such as commerce, tourism, education, and health, causing the size of the Social Web to expand exponentially. The distillation of knowledge from such a large amount of unstructured information, however, is an extremely difficult task, as the contents of today's Web are perfectly suitable for human consumption, but remain hardly accessible to machines. The opportunity to capture the opinions of the general public about social events, political movements, company strategies, marketing campaigns, and product preferences has raised growing interest both within the scientific community, leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from marketing and financial market prediction.
TOPICS MABSDA aims to provide an international forum for researchers in the field of big data computing for opinion mining and sentiment analysis to share information on their latest investigations in social information retrieval and their applications both in academic research areas and industrial sectors. The broader context of the workshop comprehends Semantic Web, Linked Open Data, Web Science, information retrieval, and natural language processing. In addition to paper presentations, an invited talk by Prof Bebo White will stress the interdisciplinary challenges of big social data analysis. Topics of interest include but are not limited to: • Affective ontologies • Rules for opinion mining • Web Science approaches to sentiment analysis • Linked Data applications for sentiment mining • Sentiment identification & classification • Time evolving opinion & sentiment analysis • Multi-modal sentiment analysis • Multi-domain & cross-domain evaluation • Knowledge base construction & integration with opinion analysis • Transfer learning of opinion & sentiment with knowledge bases • Sentiment topic detection & trend discovery • Social ranking and social network content analysis • Sentic computing • Opinion spam detection
INVITED SPEAKER Bebo White is a Departmental Associate (Retired) at the Stanford Linear Accelerator Center (SLAC), the high-energy physics and basic energy science laboratory operated by Stanford University. Prior to his retirement, he was permanent staff/faculty at SLAC from 1981 to 2005. While his initial responsibilities at SLAC were in computational physics, in recent years Prof White's work has been dominated by his involvement with World Wide Web technology. He first became involved with WWW development while on sabbatical at CERN in 1989 and was instrumental in establishing the first non-European Web site at SLAC in 1991.
TIMEFRAME • February 25th, 2013: Due date for workshop papers • March 13th, 2013: Notification of paper acceptance to authors • April 3rd, 2013: Camera-ready of accepted papers • May 13th, 2013: Workshop date
ORGANIZERS • Erik Cambria, National University of Singapore (Singapore) • Yunqing Xia, Tsinghua University (China) • Newton Howard, MIT Media Laboratory (USA) _______________________________ Erik Cambria, PhD 康文涵 Research Scientist
Temasek Laboratories Cognitive Science Programme National University of Singapore 28 Medical Drive, 117456, Singapore
Web: http://sentic.net Email: cambria at nus.edu.sg Twitter: http://twitter.com/senticnet Facebook: http://facebook.com/senticnet