For the impatient
dbacl has two major modes of operation. The first is learning mode, where one
or more text documents are analysed to find out what make them look the way
they do. At the shell prompt, type (without the leading %)
% dbacl -l one sample1.txt
% dbacl -l two sample2.txt
This creates two files named one and two, which contain the important features of
each sample document.
The second major mode is classification mode.
Let's say that you want to see if sample3.txt is closer to sample1.txt
or sample2.txt; type
% dbacl -c one -c two sample3.txt -v
and dbacl should tell you it thinks sample3.txt is less like two (which is the
category learned from sample2.txt) and more like one (which is the
category learned from sample1.txt). That's it.