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term document frequency.
Based on term document frequency matrix as input PLSA finds phishing and non-phishing topics using tempered expectation maximization.
In order to build PLSA topic model, which all three layers of phishGILLNET employs, the methodology requires preparation of Term Document Frequency (TDF) matrix.
An m × n Term Document Matrix Y = {y ij } was therefore constructed to define the cluster profiles in the vector space.
The Term Document Matrix X = {x ij } was constructed so that each song i corresponded to a "Document" and each unique tag (or item of the vocabulary) j to a "Term".
Maybe the film can help demonstrate what the Corpsmembers experienced...I guess connecting back to the CCC guys, this can be a long term document to communicate what happened here some 50 years down the line".
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A term documented as being first used by Mark Twain in 1886 as an adjective meaning "hardened".
Diffusion is then performed on the augmented term-document matrix.
A term-document matrix describes the frequency of terms that occur in a collection of documents.
Note that the term-document matrix ignores the ordering of words in the documents.
The term-document matrix, denoted as A, plays a central role in our analysis (see Manning et al. 2008).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com