Towards a fuzzy-linguistic based social network sentiment-expression system
- https://doi.org/10.2991/ifsa-eusflat-15.2015.136How to use a DOI?
- Social networks, sentiment analysis, linguistic fuzzy Markov chains.
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.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Valerio Perticone AU - Francesco D’Aleo AU - Giovanni Rizzo AU - Marco Elio Tabacchi PY - 2015/06 DA - 2015/06 TI - Towards a fuzzy-linguistic based social network sentiment-expression system BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 967 EP - 972 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.136 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.136 ID - Perticone2015/06 ER -