Appel: AAAI FLAIRS special track on Artificial Intelligence for Big Social Data Analysis

[Thierry Hamon]

Date: Tue, 2 Sep 2014 04:03:34 -0500 (EST)
From: SenticNet <feeds at sentic.net>
Message-ID: <627620085.3512085.1409648614443.open-xchange at bosoxweb01.eigbox.net>
X-url: http://sentic.net/flairs

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), to be
held in Florida next May.  For more info, please visit
http://sentic.net/flairs

RATIONALE

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.

TOPICS

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.

TIMEFRAME
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

SUBMISSION AND PROCEEDINGS

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 journal.

ORGANIZERS

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