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BigData 2015 : AI for Big Social Data @ FLAIRS-28


When May 18, 2015 - May 20, 2015
Where Hollywood, Florida, USA
Submission Deadline Nov 17, 2014
Notification Due Jan 19, 2015
Final Version Due Feb 23, 2015
Categories    big data   information retrieval   NLP

Call For Papers

Apologies for cross-posting,

Submissions are invited for a FLAIRS-28 special track on Artificial Intelligence
for Big Social Data Analysis in cooperation with the Association for the
Advancement of Artificial Intelligence (AAAI). For more information, please

As the Web rapidly evolves, Web users are evolving with it. In an era of social
connectedness, people are becoming increasingly 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.

The main aim of this Special Track is to explore the new frontiers of big data
computing for opinion mining and sentiment analysis through machine learning
techniques, knowledge-based systems, adaptive and transfer learning, in order to
more efficiently retrieve and extract social information from the Web.

The Special Track 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 Special Track comprehends information retrieval, natural
language processing, web mining, semantic web, and artificial intelligence.
Topics of interest include but are not limited to:
• Machine learning for sentiment mining
• Concept-level sentiment analysis
• Biologically-inspired opinion mining
• Sentiment identification & classification
• Association rule learning for opinion mining
• 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
• Social network analysis
• Opinion spam detection

The Special Issue also welcomes papers on specific application domains of
knowledge-based systems for big social data analysis, e.g., influence networks,
customer experience management, intelligent user interfaces, multimedia
management, computer-mediated human-human communication, enterprise feedback
management, surveillance, art.

November 17th, 2014: Paper submission deadline
January 19th, 2015: Notification of paper acceptance
February 23rd, 2015: Camera-ready of accepted papers
May 18th-20th, 2015: Conference dates

Submitted papers must be original, and not submitted concurrently to a journal
or another conference. Double-blind reviewing will be provided, so submitted
papers must use fake author names and affiliations. Papers must use the latest
AAAI Press template, and must be submitted as PDF through the EasyChair
conference system. There are three kinds of submissions: full papers (up to 6
pages), short papers (up to 4 pages), and poster abstracts (up to 250 words).
Acceptance as a full paper entails a 20 minute presentation during a regular
session, while short papers and abstracts will be required to participate in the
poster session. Rejected full papers may still be accepted as short papers or
poster abstracts. Selected, expanded versions of Special Track papers will be
published in a follow-on Special Issue of Springer's Cognitive Computation

• Erik Cambria, Nanyang Technological University (Singapore)
• Amir Hussain, University of Stirling (UK)
• Newton Howard, MIT Media Laboratory (USA)

Related Resources

IJCAI 2017   International Joint Conference on Artificial Intelligence
SIGIR 2017   The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
UP 2017   Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
Elsevier JOCS NCP&BD 2017   Elsevier Journal of Computational Science (SCI IF=1.078) Special Issue on The Convergence of New Computing Paradigms and Big Data Analytics Methodologies for Online Social Networks
ACL 2017   The 55th annual meeting of the Association for Computational Linguistics
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
BigData-FAB 2016   Special Issue on “Big Data and Machine Learning in Finance, Accounting and Business” in Electronic Commerce Research (Springer)
IJAIA 2016   International Journal of Artificial Intelligence & Applications
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017