Appel: UAI MABSDA Workshop on opinion mining

Thierry Hamon hamon at LIMSI.FR
Tue May 6 19:59:15 UTC 2014

Date: Sun, 4 May 2014 21:27:42 -0500 (EST)
From: feeds <feeds at>
Message-ID: < at>

Apologies for cross-posting,

Submissions are invited for the 2nd international workshop on
Multidisciplinary Approaches to Big Social Data Analysis (MABSDA), a
UAI'14 workshop exploring the new frontiers of big data computing for
opinion mining 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 workshop is
going to be held in Quebec City on 27th July. For more information,
please visit:

As the Web rapidly evolves, Web users are evolving with it. In the 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.

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
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

Paper submission and reviewing will be handled electronically via
EasyChair.  Submissions should be formatted in the UAI format and papers
(including figures and text) are limited to 9 pages in length. An
additional 10th page is allowed containing only references. Optional
submissions of supplementary materials are allowed. However, reviewers
are under no obligation to look at the submitted supplementary
materials, and will base their review primarily on the main paper.
Papers that are currently under review or have already been accepted or
published in a refereed venue, including conferences and journals, may
not be submitted. Authors are strongly encouraged to make data and code
publicly available when possible. The review process is double
blind. Please make sure that the submission does not disclose the
author's identities or affiliation.  Selected, expanded versions of
papers presented at the workshop will be invited to a forthcoming
Special Issue of Cognitive Computation on opinion mining and sentiment

- May 31st, 2014: Submission deadline
- June 20th, 2014: Notification of acceptance
- July 1st, 2014: Final manuscripts due
- July 27th, 2014: Workshop date

- Erik Cambria, Nanyang Technological University (Singapore)
- Yunqing Xia, Tsinghua University (China)
- Newton Howard, MIT Media Laboratory (USA)

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