Re: [Classifier4j-devel] pseudocode

[Nick L. <ni...@ma...>]

That should read:

That will _tokenise_ the text passed to the teachMatch & teachNonMatch=20
methods as it goes.

> Sorry - I've been away for a few days.
>
> To train Classifier4J, do something like this:
>
> http://sourceforge.net/mailarchive/forum.php?thread_id=3D5110155&forum_=
id=3D34026=20
>
>
> That will y the text passed to the teachMatch & teachNonMatch methods=20
> as it goes.
>
> To classify after training use the classify(String) and/or=20
> isMatch(String) methods.
>
> Nick
>
>
> satmeet wrote:
>
>> hi ,
>> I looked at the Code again and have gone through, the archives of the=20
>> mailing list (first 5 months). I am writing down a pseudocode for=20
>> Bayesian that I maybe you could help me visualize in terms of=20
>> CLASSIFIER4J.
>> I am uploading this to>>  www.satmeet.com/bayesian.html
>> its optimized for IE (sorry ,I was in a hurry)
>>
>> I would like to know, what is the sequence for making tokens from=20
>> text, then using them for Training and Classification . If you could=20
>> just tell me the flow of Classifier4J according to this given pattern=20
>> , I know you are busy people but I will be very greatful if you could=20
>> help me .
>>
>> In pseudo-code training is ,Given: an email message, X, and a label=20
>> Ci =CE=B5 {CN,CS},
>> 1. break X into its tokens, hx1, . . . , xki
>> 2. for each token, xj
>> (a) Increment the counter for token xj for class Ci
>> (b) Increment the count of total tokens in class Ci
>> 3. Increment the total number of email messages for class Ci    =20
>>
>> And Classification can be written as :
>> Given: an UNLABELED email message, X
>> 1. PN :=3D Pr[CN]
>> 2. PS :=3D Pr[CS]
>> 3. break X into its tokens, hx1, . . . , xki
>> 4. for each token, xj
>> (a) PN :=3D PN =E2=80=A2 Pr[xj |CN]
>> (b) PS :=3D PS =E2=80=A2 Pr[xj |CS]
>> 5. if PN >PS then return NORMAL
>> 6. else return SPAM
>>
>>
>> Where Pr[CN] =3D#NORMAL emails     =3D     #NORMAL emails
>>                  --------------           ---------------
>>                  total # emails           # SPAM + # NORMAL
>>
>> Pr[CS] =3D # SPAM emails           =3D   #SPAM emails
>>               ----------                ------------
>>              total # emails             #SPAM + # NORMAL
>>
>> Pr[xj |Ci] =3D # of tokens of type xj seen in class Ci
>>                 -------------------------------------------
>>                      total # of tokens seen in class Ci
>>
>> Thanking you
>>
>> Satmeet
>>
>>
>>
>>
>
>
>
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