  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.
