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I'm a beginer of LDA. pls tell me how to use this lda command.
usage : lda est [initial alpha] [k] [settings] [data] [random/seeded/*] [directory]
lda inf [settings] [model] [data] [name]
in my mind. this is a tool to get the topic words of an article.
so if I have handreds of articles by hand(like 0000.txt-1000.txt). how can I use lda to get the topic words of an article?
The text was updated successfully, but these errors were encountered:
the data format is explained in the readme.txt file. Each line should have a count of number of tokens followed by a term index and it counts. The term index should correspond to a vocabulary file.
Under LDA, the words of each document are assumed exchangeable. Thus,
each document is succinctly represented as a sparse vector of word
counts. The data is a file where each line is of the form:
where [M] is the number of unique terms in the document, and the
[count] associated with each term is how many times that term appeared
in the document. Note that [term_1] is an integer which indexes the
term; it is not a string.
I'm a beginer of LDA. pls tell me how to use this lda command.
usage : lda est [initial alpha] [k] [settings] [data] [random/seeded/*] [directory]
lda inf [settings] [model] [data] [name]
in my mind. this is a tool to get the topic words of an article.
so if I have handreds of articles by hand(like 0000.txt-1000.txt). how can I use lda to get the topic words of an article?
The text was updated successfully, but these errors were encountered: