senpy/docs/vocabularies.rst

Vocabularies and model
======================

The model used in Senpy is based on NIF 2.0 [1], which defines a semantic format and API for improving interoperability among natural language processing services.

Senpy has been applied to sentiment and emotion analysis services using the following vocabularies:

* Marl [2,6], a vocabulary designed to annotate and describe subjetive opinions expressed on the web or in information systems.
* Onyx [3,5], which is built one the same principles as Marl to annotate and describe emotions, and provides interoperability with Emotion Markup Language.

An overview of the vocabularies and their use can be found in [4].


[1] Guidelines for developing NIF-based NLP services, Final Community Group Report 22 December 2015 Available at: https://www.w3.org/2015/09/bpmlod-reports/nif-based-nlp-webservices/

[2] Marl Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/marl/

[3] Onyx Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/onyx/

[4] Iglesias, C. A., Sánchez-Rada, J. F., Vulcu, G., & Buitelaar, P. (2017). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Sentiment Analysis in Social Networks (pp. 49-69).

[5] Sánchez-Rada, J. F., & Iglesias, C. A. (2016). Onyx: A linked data approach to emotion representation. Information Processing & Management, 52(1), 99-114.

[6] Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011). Linked opinions: Describing sentiments on the structured web of data.
Doc changes * Alabaster theme * Restructured * Simplified introduction * Reference to entries/models * Fixed examples 2017-04-03 16:18:35 +00:00			`Vocabularies and model`
			`======================`
Update readthedocs. Mainly Api and What is senpy section 2017-03-28 10:34:39 +00:00
Update vocabularies.rst 2018-03-14 10:56:07 +00:00			`The model used in Senpy is based on NIF 2.0 [1], which defines a semantic format and API for improving interoperability among natural language processing services.`
Update readthedocs. Mainly Api and What is senpy section 2017-03-28 10:34:39 +00:00
Update vocabularies.rst 2018-03-14 10:56:07 +00:00			`Senpy has been applied to sentiment and emotion analysis services using the following vocabularies:`

			`* Marl [2,6], a vocabulary designed to annotate and describe subjetive opinions expressed on the web or in information systems.`
			`* Onyx [3,5], which is built one the same principles as Marl to annotate and describe emotions, and provides interoperability with Emotion Markup Language.`

			`An overview of the vocabularies and their use can be found in [4].`


Update vocabularies.rst 2018-03-14 10:57:18 +00:00			`[1] Guidelines for developing NIF-based NLP services, Final Community Group Report 22 December 2015 Available at: https://www.w3.org/2015/09/bpmlod-reports/nif-based-nlp-webservices/`
Update vocabularies.rst 2018-03-14 10:56:33 +00:00
Update vocabularies.rst 2018-03-14 10:57:18 +00:00			`[2] Marl Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/marl/`
Update vocabularies.rst 2018-03-14 10:56:33 +00:00
Update vocabularies.rst 2018-03-14 10:57:18 +00:00			`[3] Onyx Ontology Specification, available at http://www.gsi.dit.upm.es/ontologies/onyx/`
Update vocabularies.rst 2018-03-14 10:56:33 +00:00
Update vocabularies.rst 2018-03-14 10:56:07 +00:00			`[4] Iglesias, C. A., Sánchez-Rada, J. F., Vulcu, G., & Buitelaar, P. (2017). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Sentiment Analysis in Social Networks (pp. 49-69).`
Update vocabularies.rst 2018-03-14 10:56:33 +00:00
Update vocabularies.rst 2018-03-14 10:56:07 +00:00			`[5] Sánchez-Rada, J. F., & Iglesias, C. A. (2016). Onyx: A linked data approach to emotion representation. Information Processing & Management, 52(1), 99-114.`
Update vocabularies.rst 2018-03-14 10:56:33 +00:00
Update vocabularies.rst 2018-03-14 10:56:07 +00:00			`[6] Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011). Linked opinions: Describing sentiments on the structured web of data.`