Investigating the Polarity of User Postings in a Social System

被引：2

作者：

Lima, Afonso M. S. ^{[1
]}

Silva, Paloma B. S. ^{[1
]}

Cruz, Livia A. ^{[2
]}

Mendes, Marilia S. ^{[1
]}

机构：

[1] Fed Univ Ceara UFC, Russas, CE, Brazil

[2] Fed Univ Ceara UFC, Quixada, CE, Brazil

来源：

SOCIAL COMPUTING AND SOCIAL MEDIA: APPLICATIONS AND ANALYTICS, SCSM 2017, PT II | 2017年 / 10283卷

关键词：

Textual evaluation; Polarity; Postings Related to the Use (PRUs);

D O I：

10.1007/978-3-319-58562-8_20

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Evaluation of Human-Computer Interaction (HCI) in a textual way is a recent type of evaluation, demanding studies of techniques to improve it. This work aims to investigate the automatic classification of the polarity of opinion in postings related to the use of the system. We analyzed 1,345 postings of an academic system with social characteristics and performed two investigations: one uses an automatic classifier and the other applies Data Mining algorithms. As results, we present the most relevant words of each polarity, their characteristics and a discussion about the investigations carried out.

引用

页码：246 / 257

页数：12

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