  There are various font styles in the world. Different styles give different
impressions and readability. This paper analyzes the relationship between font
styles and contextual factors that might affect font style selection with
large-scale datasets. For example, we will analyze the relationship between
font style and its surrounding object (such as ``bus'') by using about 800,000
words in the Open Images dataset. We also use a book cover dataset to analyze
the relationship between font styles with book genres. Moreover, the meaning of
the word is assumed as another contextual factor. For these numeric analyses,
we utilize our own font-style feature extraction model and word2vec. As a
result of co-occurrence-based relationship analysis, we found several instances
of specific font styles being used for specific contextual factors.
