Utilization of Information Interpolation using Geotagged Tweets
نویسندگان
چکیده
Along with the spread of social media, it has become possible to extract events occurring in the real world in real time. 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 social media data include few data with location information, the amount to analyze is insufficient for almost all areas: we cannot fully extract most events. Therefore, efficient analytical methods must be devised for the accurate extraction of events with position information, even in areas with few data. For this study, we use geotagged tweets along with interpolation to estimate the best time to observe biological seasons when doing sightseeing such as cherry-blossom and autumn leaf viewing in areas and sightseeing spots. Herein, we explain the analysis results obtained using information interpolation and analysis of cherry blossoms in Japan during 2017.
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