Home // International Journal On Advances in Systems and Measurements, volume 10, numbers 3 and 4, 2017 // View article

Examination of Best-time Estimation for Each Tourist Spots by Interlinking using Geotagged Tweets

Authors:
Masaki Endo
Shigeyoshi Ohno
Masaharu Hirota
Daiju Kato
Hiroshi Ishikawa

Keywords: trend estimation; phenological observation; Twitter

Abstract:
Numerous studies have been conducted to analyze social media data in real time and to extract events occurring in the real world. A benefit of analysis using data with position information is that it can accurately extract an event from a target area to be analyzed. However, because data with position information are scarce among all social media data, the amount to analyze is insufficient for almost all areas: we cannot fully extract most events. Therefore, efficient analytical methods must be devised for accurate extraction of events with position information, even in areas with few data. For this study, we estimate the time of biological season observation in areas and sightseeing spots with interlinkage of tweet location information. Herein, we explain the analysis results obtained using information from interpolation and analysis of cherry blossoms in Japan in 2016.

Pages: 163 to 173

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-261x