Fuzzy Analysis of Sentiment Terms for Topic Detection Process in Social Networks

被引：2

作者：

Gutierrez-Batista, Karel ^{[1
]}

Campana, Jesus R. ^{[1
]}

Vila, Maria-Amparo ^{[1
]}

Martin-Bautista, Maria J. ^{[1
]}

机构：

[1] Univ Granada, ETSIIT, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, PT II | 2018年 / 854卷

关键词：

Topic detection; Hierarchical clustering; Fuzzy sets; Sentiment terms;

D O I：

10.1007/978-3-319-91476-3_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this paper is to analyze the influence of sentiment-related terms on the automatic detection of topics in social networks. The study is based on the use of an ontology, to which the capacity to gradually identify and discard sentiment terms in social network texts is incorporated, as these terms do not provide useful information for detecting topics. To detect these terms, we have used two resources focused on the analysis of sentiments. The proposed system has been assessed with real data sets of the social networks Twitter and Dreamcatcher in English and Spanish respectively.

引用

页码：3 / 14

页数：12

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