After some reflection, I realized that I could provide evidence about popular notions of fetishism by
Time for a hack. I wrote a simple Perl script that uses the Google Search API to calculate the NGD for a pair of terms.
Using this tool, we can provide a measure for the distance between the term 'fetish' and some popular and scholarly associations. (Lower numbers mean the terms are more closely associated.)
At this point Google really does constitute what John Battelle called "the database of intentions." More about Google in my next post...
Update (26 Aug 2006): Nicolás Quiroga translated this post into Spanish for his new digital history blog Tapera.
Tags: application program interface | data mining | feature space | statistical natural language processing