Using Corpus Analysis to Explore Local Tourism Attraction: An Example of Tainan City Government’s Facebook Page

Abstract

With the rapid development of Internet communication and digital technologies, government can create and share travel information through social media. The purpose of this study is to understand how tourism attraction is constructed by government departments on the social media and how social media users perceive these tourism attractions. The technique of text corpus was utilized to analyze the posting messages elected from Tainan City Government’s Facebook page─@traveltainan. The research results reveal that 10 types of tourism attraction were identified. In addition, the interactive responses on @traveltainan were also examined in terms of “likes,” “comments,” and “shares.” The findings and suggestions are proposed for future studies and implementations about tourism policy and planning in the local area. (Article content in Chinese with English extended abstract)

Keywords

• tourism attraction
• corpus analysis
• social media