Re: topic classifier, take 3

Ger Hobbelt <[email protected]>
Newsgroups gmane.mail.spam.crm114
Message-ID <[email protected]>
Lookin' good, lookin' good.

One tidbit:

>            liaf
>            output /Improvement never increased enough\n/
>        } #exiting the loop because pR never improved enough

That output /.../ statement after the liaf will never execute, as the
liaf will immediately move the 'program counter' to the opening brace.
I take it you want this instead:

>            liaf
>        } #exiting the loop because pR never improved enough
>        output /Improvement never increased enough\n/



> apart from this, i am seeing, even after having run try-to-learn for
> quite a while, that try-to-classify 'succeeds' very confidently in
> classifying everything as technology, even though i can clearly see
> that it belongs to sports.

Hm.... okay, wild guess #1: most of your articles are sports or tech?
(Which means I implicitly assume:
a) your test set is not 'balanced', i.e. the number of articles that
should go into each category is quite different, where
b) the majority of articles is sports and tech, implying the
undercurrent of my remark that I expect this 'off to the wrong
category' behaviour you see to happen to more than just these two.)

Anyway, this is quite some progress and we're getting close to the
bloody hard part of statistical document classification: what to do
when we don't like what we get. Be prepared to wave some dead poultry.
;-))


-- 
Met vriendelijke groeten / Best regards,

Ger Hobbelt

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