Appel: Semantic Sentiment Analysis 2014, workshop ESWC 2014

Thierry Hamon hamon at LIMSI.FR
Sat Feb 1 08:44:46 UTC 2014


Date: Fri, 31 Jan 2014 23:44:41 +0100
From: Diego Reforgiato <diego.reforgiato at istc.cnr.it>
Message-ID: <52EC2759.5050501 at istc.cnr.it>
X-url: http://ontologydesignpatterns.org/wiki/SemanticSentimentAnalysis2014


** apologies for cross-posting **

============================================
Call for Workshop: Semantic Sentiment Analysis 2014
Semantic Web and Sentiment Analysis
============================================

http://ontologydesignpatterns.org/wiki/SemanticSentimentAnalysis2014

Dates: May 25, 2014
Hashtag: #ssa2014
Venue: Anissaras, Crete, Greece
Jointly with the 11th ESWC 2014 (http://2014.eswc-conferences.org)

Workshop Chairs:
- Aldo Gangemi (U. Paris Nord France/ISTC-CNR Rome Italy)
- Harith Alani (KMI-OU Milton Keynes UK)
- Malvina Nissim (University of Bologna, Italy)
- Erik Cambria (NUS Singapore)
- Diego Reforgiato Recupero (ISTC-CNR Catania Italy)


Mining opinions and sentiments from natural language is a difficult task
as opinions and sentiments are often conveyed implicitly through latent
semantics, which make approaches based on surface lexical hints less
effective in those cases. To this end, semantic sentiment analysis may
go beyond word-level analysis of text, and provide novel approaches to
opinion mining and sentiment analysis that allow a more efficient
passage from (unstructured) textual information to (structured)
machine-processable data, in potentially any domain.

Semantic sentiment analysis may benefit from the use of web ontologies
(e.g. linked data, multilingual linked lexica, linked vocabularies), or
graph-based quasi-ontologies (e.g. ConceptNet, SenticNet, Nell, OIE,
etc.) which enable the aggregation of conceptual and affective
information associated with natural language opinions.

This workshop focuses on the introduction, presentation, and discussion
of novel approaches to semantic sentiment analysis. Special focus will
be given to semantic methods, models, and tools that exploit
common-sense knowledge bases to perform multi- or open-domain sentiment
analysis.

The intended audience of the workshop includes researchers from academia
and industry as well as professionals and industrial practitioners to
discuss and exchange positions on new hybrid techniques, which use
semantics for sentiment analysis. The expected number of participants
ranges between 20 and 40.


* Topics of Interest *

Topics of Includes but not limited to:

- Ontologies and knowledge bases for sentiment analysis
- Topic and entity based sentiment analysis
- Evolution of sentiment within and across social media systems and
  topics
- Semantic processing of social media for sentiment analysis
- Contextualised sentiment analysis
- Comparison of semantic approaches for sentiment analysis
- Personalised sentiment analysis and monitoring
- Prediction of sentiment towards events, people, organisations, etc.
- Baselines and datasets for semantic sentiment analysis
- Concept-level sentiment analysis
- Biologically-inspired opinion mining


* Submission Guidelines *

Submissions must comply with the Springer LNCS style and will be made
using EasyChair at the following link
https://www.easychair.org/conferences/?conf=ssa14. Authors are invited
to submit full papers (up to 8 e.g. original work) pages or short papers
(up to 4 pages e.g. pilot experiments, position statement, short
communications). Accepted papers will be published by CEUR-WS. Moreover,
selected expanded versions of workshop papers will be invited for a
special issue of Springer Cognitive Computation
(http://springer.com/journal/12559).
At least one of the authors of the accepted papers must register for
both the main conference and the workshop to be included into the
workshop proceedings.

* Important Dates *

Submission Deadline: March 6, 2014
Notification of Acceptance: April 1, 2014
Camera-Ready Paper: April 15, 2014



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