Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.
Perticone, V., D'Aleo, F., Rizzo, G., Tabacchi, M. (2015). Towards a fuzzy-linguistic based social network sentiment-expression system. In J.M. José M. Alonso, H. Bustince, M. Reformat (a cura di), Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (pp. 967-972). Atlantis Press.
Towards a fuzzy-linguistic based social network sentiment-expression system
PERTICONE, Valerio
;D'ALEO, Francesco;RIZZO, Giovanni;TABACCHI, Marco
2015-01-01
Abstract
Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.File | Dimensione | Formato | |
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