W3C Community Group on Linked Data for Emotion and Sentiment

Dear colleague, we recently started a W3C Community Group on Linked Data 
Models for Emotion and Sentiment Analysis 
(http://www.w3.org/community/sentiment/). The group is chaired by Bjoern 
Schuller (Technical University Munich; Imperial College London) and 
Fernando Sanchez (Universidad Politecnica Madrid).

The Community Group is a forum to promote the use of Linked Data best 
practices in emotion and sentiment analysis research, in particular on:
- The definition of Linked Data based vocabularies for emotion and 
sentiment analysis, where already existing vocabularies and schema for 
emotion and sentiment analysis can be taken as a starting point, e.g. 
EmotionML (http://www.w3.org/TR/emotionml/), Marl 
(http://marl.gi2mo.org/), Onyx 
(http://www.gsi.dit.upm.es/ontologies/onyx/) among others.
- Aligning requirements for and reaching consensus on the meaning and 
use of varying features for describing polarity values, e.g. 1...5, 
-2/.../2, positive/neutral/negative, very-bad/bad/.../good/very-good
- Aligning and representing as Linked Data the different schemas for 
emotion analysis, see also http://www.w3.org/TR/emotion-voc/
- Other topics of interest to be suggested by the Community Group

We will have a first Community Group telco on July 30, 11am CET (one 
hour meeting). We will use Webex for this meeting.

Please register your interest and availability by sending an email to

paul.buitelaar@insight-centre.org

Also, please consider registering as Community Group participant at 
http://www.w3.org/community/sentiment/

Regards


for the CG chairs: Paul Buitelaar

Insight Centre for Data Analytics (formerly DERI)
National University of Ireland, Galway
http://www.paulbuitelaar.net/
http://eurosentiment.eu/

Received on Sunday, 27 July 2014 16:08:13 UTC