Towards a fuzzy-linguistic based social network sentiment-expression system
Valerio Perticone, Francesco D’Aleo, Giovanni Luca Rizzo, Marco Elio Tabacchi · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
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.