Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter.
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter.
复制标题
在Twitter上对旅游景点情绪的时间和时空调查。
DOI:
10.1371/journal.pone.0198857
复制
发表时间:
2018
期刊:
影响因子:
3.7
通讯作者:
Diallo SY
中科院分区:
文献类型:
--
作者:
Padilla JJ;Kavak H;Lynch CJ;Gore RJ;Diallo SY
In this paper, we propose a sentiment-based approach to investigate the temporal and spatiotemporal effects on tourists’ emotions when visiting a city’s tourist destinations. Our approach consists of four steps: data collection and preprocessing from social media; visitor origin identification; visit sentiment identification; and temporal and spatiotemporal analysis. The temporal and spatiotemporal dimensions include day of the year, season of the year, day of the week, location sentiment progression, enjoyment measure, and multi-location sentiment progression. We apply this approach to the city of Chicago using over eight million tweets. Results show that seasonal weather, as well as special days and activities like concerts, impact tourists’ emotions. In addition, our analysis suggests that tourists experience greater levels of enjoyment in places such as observatories rather than zoos. Finally, we find that local and international visitors tend to convey negative sentiment when visiting more than one attraction in a day whereas the opposite holds for out of state visitors.
登录
查看更多内容
影响因子:
3.7
作者:
Gore RJ;Diallo S;Padilla J
通讯作者:
Padilla J
影响因子:
3.6
作者:
Bassolas, Aleix;Lenormand, Maxime;Ramasco, Jose J.
通讯作者:
Ramasco, Jose J.
影响因子:
2.1
作者:
Gladstone, DL
通讯作者:
Gladstone, DL
影响因子:
3.6
作者:
Bollen, Johan;Goncalves, Bruno;Ruan, Guangchen
通讯作者:
Ruan, Guangchen
影响因子:
3.7
作者:
Bhattacharya S;Srinivasan P;Polgreen P
通讯作者:
Polgreen P