Social Media Data analysis and Semantics for Tourism Understanding - Poster
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | {ASE@360}The Eighth ASE International Conference on Social Computing, Stanford, CA, USA, August 18-20, 2015 |
| Year: | 2015 |
| Abstract: | How social media could be used to interpret the satisfaction of clients visiting a destination based on real use cases? 2.078 Billion active social media accounts (29% of the total population) +12% active social media account compared to 2014 (+222 Million) 16 min/hour is the time spent on social networks in the USA 23% of Facebook users login at least 5 times a day [1, 2] More than just to communicate with clients, this analysis let the resort analyzing the effective tourist needs and hope when he is coming in this tourism hotspot (Mountain Bike, Ski, …). With a semantic approach, it is possible to know what the interests of tourists are when they are traveling in a specific region. |
| Keywords: | |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
|
Topics
|
|
|
|
|
