Home Location Estimation Using Weather Observation Data

We can extract useful information from social media data by adding the user's home location. However, since the user's home location is generally not publicly available, many researchers have been attempting to develop a more accurate home location estimation. In this study, we propose a method to estimate a Twitter user's home location by using weather observation data from AMeDAS. In our method, we first estimate the weather of the area posted by an estimation target user by using the tweet, Next, we check out the estimated weather against weather observation data, and narrow down the area posted by the user. Finally, the user's home location is estimated as which areas the user frequently posts from. In our experiments, the results indicate that our method functions effectively and also demonstrate that accuracy improves under certain conditions.Comment: The 2017 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA2017

日本語の多様な文書からなるタグ付きコーパスの構築及びゼロ照応解析に関する研究

京都大学0048新制・課程博士博士(情報学)甲第18407号情博第522号新制||情||92(附属図書館)31265京都大学大学院情報学研究科知能情報学専攻(主査)教授 黒橋 禎夫, 教授 西田 豊明, 教授 河原 達也学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDFA