Publications ============ If you use Senpy in your research, please cite `Senpy: A Pragmatic Linked Sentiment Analysis Framework `__ (`BibTex `__): .. code-block:: text 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: .. code-block:: text 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: .. code-block:: text Westerski, A., Iglesias Fernandez, C. A., & Tapia Rico, F. (2011). Linked opinions: Describing sentiments on the structured web of data. Senpy has been used extensively in the toolbox of the MixedEmotions project: .. code-block:: text Buitelaar, P., Wood, I. D., Arcan, M., McCrae, J. P., Abele, A., Robin, C., … Tummarello, G. (2018). MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis. IEEE Transactions on Multimedia. The representation models, formats and challenges are partially covered in a chapter of the book Sentiment Analysis in Social Networks: .. code-block:: text 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).