Computing Sentiment Analysis through Aspect-based fuzzy Aggregations

DOI

10.2991/eusflat-19.2019.63How to use a DOI?

Keywords

Sentiment analysis Aspects level Fuzzy aggregation operators

Abstract

The expression of a general opinion on a product or service may sometimes be broken down into different sub-opinions on the different aspects which characterise such a product or service. Sometimes, the general opinion about a product does not have to be the average of the other sub-opinions, but other user-dependent factors can make the aggregation of the sub-opinions more complex. This work studies some use cases with real opinions, in which fuzzy aggregation operators can help represent certain user behaviors, and hence, explain the overall assessment of an opinion with respect to partial opinions of aspects.

Copyright

© 2019, 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  - Jesus Serrano-Guerrero
AU  - Jose Angel Olivas
AU  - Francisco P. Romero
PY  - 2019/08
DA  - 2019/08
TI  - Computing Sentiment Analysis through Aspect-based fuzzy Aggregations
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 452
EP  - 459
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.63
DO  - 10.2991/eusflat-19.2019.63
ID  - Serrano-Guerrero2019/08
ER  -