Time-Series Estimation of the Best Time to View Seasonal Organisms Using Geotagged Tweets and Co-occurring Words

Author:

Takamori YusukeORCID,Sato JunyaORCID,Sato RyogaORCID,Iha AsahiORCID,Endo MasakiORCID,Terada KenjiORCID,Ohno ShigeyoshiORCID,Ishikawa HiroshiORCID

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Japan Meteorological Agency. Biological Seasonal Observation Guidelines (2021). https://www.data.jma.go.jp/sakura/data/shishin.pdf. Accessed 22 Feb 2023

2. Japan Meteorological Agency. Changes in the Disciplines and Phenomena of Biological Seasonal Observations (2020). https://www.data.jma.go.jp/sakura/data/shishin.pdf. Accessed 22 Feb 2023

3. Statista. Leading countries based on number of Twitter users as of January 2022 (2022). https://www.statista.com/statistics/242606/number-of-active-twitter-users-in-selected-countries/. Accessed 22 Feb 2023

4. Shimada, K., Inoue, S., Maeda, H., Endo, T.: Analyzing tourism information on Twitter for a local city. In: 2011 First ACIS International Symposium on Software and Network Engineering, pp. 61–66. IEEE (2011). https://doi.org/10.1109/SSNE.2011.27

5. Sotiriadis, M.D., van Zyl, C.: Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electron. Commer. Res. 13, 103–124 (2013). https://doi.org/10.1007/s10660-013-9108-1

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