Hello,
I'm using Python to extract words from plain text files. I have a list
of words. Now I would like to convert that list to a dictionary of
features where the key is the word and the value the number of
occurrences in a group of files based on the filename (different files
correspond to different categories). What is the best way to represent
this data? When I finish I expect to have about 70 unique dictionaries
with values I plan to use in frequency distributions, etc. Should I use
globally defined dictionaries?
Dana
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