  We present a methodology to support the analysis of culture from text such as
news events and demonstrate its usefulness on categorizing news events from
different categories (society, business, health, recreation, science, shopping,
sports, arts, computers, games and home) across different geographical
locations (different places in 117 countries). We group countries based on the
culture that they follow and then filter the news events based on their content
category. The news events are automatically labelled with the help of Hofstedes
cultural dimensions. We present combinations of events across different
categories and check the performances of different classification methods. We
also presents experimental comparison of different number of features in order
to find a suitable set to represent the culture.
