Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview |
Sánchez Rada, Juan Fernando and Iglesias Fernandez, Carlos Angel (2015). Onyx: A Linked Data approach to emotion representation. "Information Processing & Management" ; pp. 1-24. ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2015.03.007.
Title: | Onyx: A Linked Data approach to emotion representation |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Information Processing & Management |
Date: | March 2015 |
ISSN: | 0306-4573 |
Subjects: | |
Freetext Keywords: | Emotion analysis, ontology, provenance, Linked Data, EmotionML, lexical resources |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Ingeniería de Sistemas Telemáticos [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview |
Extracting opinions and emotions from text is becoming increasingly important, especially since the advent of micro-blogging and social networking. Opinion mining is particularly popular and now gathers many public services, datasets and lexical resources. Unfortunately, there are few available lexical and semantic resources for emotion recognition that could foster the development of new emotion aware services and applications. The diversity of theories of emotion and the absence of a common vocabulary are two of the main barriers to the development of such resources. This situation motivated the creation of Onyx, a semantic vocabulary of emotions with a focus on lexical resources and emotion analysis services. It follows a linguistic Linked Data approach, it is aligned with the Provenance Ontology, and it has been integrated with the Lexicon Model for Ontologies (lemon), a popular RDF model for representing lexical entries. This approach also means a new and interesting way to work with different theories of emotion. As part of this work, Onyx has been aligned with EmotionML and WordNet-Affect.
Type | Code | Acronym | Leader | Title |
---|---|---|---|---|
FP7 | 296277 | EUROSENTIMENT | PARADIGMA TECNOLOGICO SL | Language Resource Pool for Sentiment Analysis in European Languages |
Item ID: | 37389 |
---|---|
DC Identifier: | http://oa.upm.es/37389/ |
OAI Identifier: | oai:oa.upm.es:37389 |
DOI: | 10.1016/j.ipm.2015.03.007 |
Official URL: | http://www.sciencedirect.com/science/article/pii/S030645731500045X |
Deposited by: | Memoria Investigacion |
Deposited on: | 07 Sep 2015 17:07 |
Last Modified: | 31 May 2019 17:27 |