Mining Comparative Sentences from Social Medias
نویسنده
چکیده
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%.
منابع مشابه
Analysis on Multifaceted Information Dynamics of Rich Context Social Media
Rich context social medias such as online news, documental database, encyclopedias as well as micro-blogs are often huge in amount, dynamic in nature and contain information with various aspects. For example, in the DBLP dataset, three information facets, conferences, authors and topics are aligned together within each paper. The information is dynamically changed year by year. Although several...
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