Re: [Corpora-List] How to word presentation for word clustering?

From: Gaël Dia (ddg@di.ubi.pt)
Date: Wed Jul 07 2004 - 17:12:35 MET DST

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    Be careful,

    IDF is unique for a word and does not depend on the document
    so that you have:

    vector w = { tf(1)*IDF(w), tf(2)*IDF(w)....,tf(n)*IDF(w))}

    Gaël.

    Clive De Silva wrote:
    > Dear Chen Wenliang,
    >
    > I am using TF*IDF values as my representation for words.
    > vector w = { tf(1)*IDF(1), tf(2)*IDF(2)....,tf(n)*IDF(n))} where the IDF is
    > computed from a large corpus. This seems to give better results than just
    > the raw frequency counts.
    > The representations I investigated were: TF, TF*IDF and simple binary(1
    > represents the word existing in the vector and 0 if it isn't) counts.
    >
    > Regards,
    >
    > Clive De Silva
    > University of Cambridge 

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