| Autor: |
Kudo, Ruriko, Enoki, Miki, Nakao, Akihiro, Yamamoto, Shu, Yamaguchi, Saneyasu, Oguchi, Masato |
| Zdroj: |
International Journal of Big Data Intelligence; 2019, Vol. 6 Issue: 3-4 p248-258, 11p |
| Abstrakt: |
Since the decision was made to hold the Olympic Games in 2020 in Tokyo, the number of foreign tourists visiting the city has been increasing rapidly. Accordingly, tourists have been seeking more sightseeing information. While guidebooks are good for pointing out popular tourist attractions, it is more difficult for tourists to get information on local events and spots that are just becoming popular. We developed a tourist information distribution system that sends information corresponding to places and times. The system extracts event information from social media streams in a per place and time manner and provides it to tourists. In order to extract useful information, we performed event classification using actual Twitter data. We examined how to distribute the events in order to make the system more user-friendly. We also developed an information supplement function using external information. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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