The insert.pl script provides a way to train your corpus by feeding it sample emails for a particular bucket. Those emails are parsed and internally reclassified to the bucket you specify.
About Sample Size
If you use this script to train POPFile via email samples, be careful about sample size. This is not a recommended way to train POPFile, it is a utility designed for testing. If you intend to use it to train POPFile, we do not recommend you submit thousands of emails to the script, you will end up with a huge corpus that offers little additional benefit to classification accuracy. Your best approach when using this script would be to stick to small representative samples of at most 100 emails per bucket. POPFile learns quickly so using this script is unnecessary and will result in less accuracy in classifying your mail than the recommended TOE method. You may want to look into TrainTest.py which can simulate TOE.
Shutdown POPFile Before Using Shutdown any running instance of POPFile before you use this script. insert.pl modifies the corpus by adding words to it, it should not be run concurrently with POPFile to avoid damage to the corpus databases.
The script must be run from the POPFile installation directory. Windows users should open a DOS box and switch to the popfile directory (normally c:\program files\popfile\ but it can be different on your system).
cd "\program files\popfile\"
Once in the popfile installation directory, issue the following to run the program.
Feeding a directory of messages
perl insert.pl bucketname \path\to\messages\*.*
Feeding a single message
perl insert.pl bucketname messagefilename
Outlook/Outlook Express Users
The messages will be placed in the poptemp folder as .eml files. You can feed that folder direct to insert.pl as follows:
perl insert.pl bucketname \poptemp\*.eml
Eudora (and clients with MBOX or MBX style mail)
perl insert.pl bucketname \path\to\eudora\newsletters.mbx