Publications
============


And if you use Senpy in your research, please cite `Senpy: A Pragmatic Linked Sentiment Analysis Framework <http://gsi.upm.es/index.php/es/investigacion/publicaciones?view=publication&task=show&id=417>`__ (`BibTex <http://gsi.upm.es/index.php/es/investigacion/publicaciones?controller=publications&task=export&format=bibtex&id=417>`__):

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	Sánchez-Rada, J. F., Iglesias, C. A., Corcuera, I., & Araque, Ó. (2016, October).
	Senpy: A Pragmatic Linked Sentiment Analysis Framework.
	In Data Science and Advanced Analytics (DSAA),
	2016 IEEE International Conference on (pp. 735-742). IEEE.


Senpy uses Onyx for emotion representation, first introduced in:

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

Senpy uses Marl for sentiment representation, which was presented in:

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    Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011).
    Linked opinions: Describing sentiments on the structured web of data.

The representation models, formats and challenges are partially covered in a chapter of the book Sentiment Analysis in Social Networks:

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    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).
