Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?

被引：6

作者：

Valdivia, Ana ^{[1
]}

Victoria Luzon, M. ^{[2
]}

Herrera, Francisco ^{[1
]}

机构：

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

[2] Univ Granada, Dept Software Engn, E-18071 Granada, Spain

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017 | 2017年 / 10334卷

关键词：

Sentiment Analysis; Opinion mining; Online reviews; TRUST;

D O I：

10.1007/978-3-319-59650-1_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The number of online reviews has grown exponentially over the last years. As a result, several Sentiment Analysis Methods (SAMs) have been developed in order to extract automatically sentiments from text. In this work, we study polarity coherencies between reviewers and SAMs. To do so, we compare the polarity of the document evaluated by the user and the aggregated sentence polarity evaluated by three SAMs. The main contribution of this work is to show the flimsiness of user ratings as a generalization of the overall review sentiment.

引用

页码：15 / 25

页数：11

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