文章基本信息

标题：A referenciação em textos do YouTube: um estudo com vistas à análise de sentimentos | Referenciation in YouTube Texts: a study for Sentiment Analysis
其他标题：Referenciation in YouTube Texts: a study for Sentiment Analysis
本地全文：下载
作者：Alexandre Ribeiro Afonso ; Alexandre Ribeiro Afonso
期刊名称：Liinc em Revista
电子版ISSN：1808-3536
出版年度：2017
卷号：13
期号：2
页码：357-370
DOI：10.18617/liinc.v13i2.3933
出版社：Laboratório Interdisciplinar em Inofrmação e Conhecimento (LIINC)
其他摘要：This article describes a study about the phenomenon of referenciation by using a textual corpus extracted from YouTube. The purpose is to verify how the referents appear in positive, negative, or neutral posts and how this verification can affect the techniques directed to automated or semi-automated sentiment analysis. We applied content and discourse analysis as research methods, and statistical analysis software for the collection of word frequencies. The conclusion is that the identification of communication and information aspects, such as the most used referents, the non-purity of positive and negative posts, and the need to create a criterion for interpreting textual data can improve sentiment analyses process.
其他关键词：Sentiment Analysis; Content Analysis; Corpus; Reference.