Sentiment Analysis of Twitter in Tourism Destinations

被引：0

作者：

Perez Cabanero, Carmen ^{[1
]}

Bigne, Enrique ^{[1
]}

Ruiz, Carla ^{[1
]}

Carlos Cuenca, Antonio ^{[1
]}

机构：

[1] Univ Valencia, Dept Mkt, Valencia, Spain

来源：

3RD INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH METHODS AND ANALYTICS (CARMA 2020) | 2020年

关键词：

Twitter; eWOM; tourism; sentiment analysis; SOCIAL MEDIA;

D O I：

10.4995/CARMA2020.2020.11621

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three research questions regarding eWOM behaviour in Twitter focused on the expertise of the reviewer, sentiment analysis of a tweet and its content. In order to address those research questions we carry out text mining analysis by retrieving existing information on Twitter (over 1500 tweets) regarding to Venice as a tourist destination.

引用

页码：181 / 189

页数：9

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