[NLP2RDF] First meeting of the W3C CG on Linked Data Models for Emotion and Sentiment Analysis

[J. Fernando Sánchez]

Dear colleagues,

we recently started a W3C Community Group on Linked Data Models for Emotion
and Sentiment Analysis (http://www.w3.org/community/sentiment/). It is a
forum to promote the use of Linked Data best practices in emotion and
sentiment analysis research.

I think the subscribers of the list might be interested in joining the
meeting and the group. Firstly, because sentiment analysis and NLP go hand
in hand. And secondly, because NIF can be very important within the group
(some members are already using it in their sentiment analysis services).

Our aims are:

   - 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. NIF,
   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 CEST (one hour
meeting). We will use Webex for this meeting.

Please register your interest and availability by replying to this email
(only to me, to avoid spamming the list). Also, please consider registering
as Community Group participant at http://www.w3.org/community/sentiment/

Regards and hope to see you at the meeting.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.informatik.uni-leipzig.de/pipermail/nlp2rdf/attachments/20140723/e4cf6921/attachment.html>