We describe the way to get benefit from broad cultural trends through
the quantitative analysis of a vast digital book collection representing
the digested history of humanity. Our research work has revealed that
appropriately comparing the occurrence patterns of words in some periods
of human literature can help us to accurately determine the semantic
similarity between these words by means of computers without requiring
human intervention. Preliminary results seem to be promising.