Mining comparative sentences from social media text
Fabíola S. F. Pereira · 2015
Comparative opinions represent a way of users express their preferences about two or more entities. In this paper we address the problem of comparative sentences mining focused on social medias. We propose a genetic algorithm able to mine comparative sentences from short sentences based on sequential patterns classification. A comparison among classifiers regarding comparative sentences analysis is also presented. Our results indicate better accuracy for the proposed technique against literature baseline approaches, reaching accuracy levels of 73%.