Towards a fuzzy-linguistic based social network sentiment-expression system

DOI

10.2991/ifsa-eusflat-15.2015.136How to use a DOI?

Keywords

Social networks, sentiment analysis, linguistic fuzzy Markov chains.

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.

Copyright

© 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/).

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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  - 10.2991/ifsa-eusflat-15.2015.136
ID  - Perticone2015/06
ER  -