search for: findassocs

I am trying to find the math behind the "tm" package findAssocs() ?findAssocs does not say anything besides "association" and "correlate" Usually entering "findAssocs" at the CLI gives the code for a R function, but in this case I obtain: function (x, term, corlimit) UseMethod("findAssocs", x) <environment: namespac...

hi: I want to know the math behind the "tm" package findAssocs(). I have found that someone had asked the question before, and have a good explanation by Rick. ?]http://r.789695.n4.nabble.com/findAssocs-td3845751.html?^ But I still don't understand how to calculate the correlation value between the two vectors. For example: # Correlation word2 with...

I have free text data in a single text document. I create a corpus, and then a document term matrix out of it. I can create a word cloud too. But when I do word association for the same, using "findAssocs(), it always returns numeric(0). EX : findAssocs(dtm, "king" ,000000000000000000000.1) I read on stack overflow that it is because I have a single document. What is the workaround for the same ? [[alternative HTML version deleted]]

..., 2017, at 12:40 AM, Rahul singh <rahulutube69 at gmail.com> wrote: > > I have free text data in a single text document. I create a corpus, and > then a document term matrix out of it. I can create a word cloud too. > > But when I do word association for the same, using "findAssocs(), it always > returns numeric(0). > > EX : findAssocs(dtm, "king" ,000000000000000000000.1) > > I read on stack overflow that it is because I have a single document. > > What is the workaround for the same ? > > [[alternative HTML version deleted]] > &...

...ingh <rahulutube69 at gmail.com> > wrote: > > > > I have free text data in a single text document. I create a corpus, and > > then a document term matrix out of it. I can create a word cloud too. > > > > But when I do word association for the same, using "findAssocs(), it > always > > returns numeric(0). > > > > EX : findAssocs(dtm, "king" ,000000000000000000000.1) > > > > I read on stack overflow that it is because I have a single document. > > > > What is the workaround for the same ? > > > >...

....com> > > wrote: > > > > > > I have free text data in a single text document. I create a corpus, and > > > then a document term matrix out of it. I can create a word cloud too. > > > > > > But when I do word association for the same, using "findAssocs(), it > > always > > > returns numeric(0). > > > > > > EX : findAssocs(dtm, "king" ,000000000000000000000.1) > > > > > > I read on stack overflow that it is because I have a single document. > > > > > > What is the worka...

...t;- Corpus(DirSource("test_konews/"), + readerControl = list(reader = readPlain, + language = "UTF-8", load = FALSE)) > corpus.ko.nowhite <- tmMap(corpus.ko, stripWhitespace) > corpus <- tmMap(corpus.ko.nowhite, tmTolower) > tdm <- TermDocMatrix(corpus) > findAssocs(tdm, "city", 0.97) error:cannot allocate vector of size 1.1 Gb ------------------------------------------------------------- > ################################ Thanks for your precious time, -- Kum-Hoe Hwang, Ph.D. Phone : 82-31-250-3516 Email : phdhwang at gmail.com

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Buenas tardes grupo. Saludos cordiales Carlos J., muchas gracias por tu orientación. Efectivamente, me había dado cuenta que la razón por la que no se aplicaba colnames era porque no tenía columnas. La cuestión es que no logro visualizar completamente/claramente en qué parte del proceso de creación del corpus se puede hacer. Sin embargo, siguiendo el ejemplo de

.... . 3 . . .   6 . . . . . . . . . . . . . . . 3 . . . . .  1 . 1 . . . . . . . 1 1 2 1 4 1 5 4 4 2 4 6 2 2 . 3 1 2 1 3 1 2 1 4 1 1 3 1 1 1 12 2 1 1 2 1 1 4 1 1 . 3 1 2 1 3 3 1 1 2 2 2 . . . . . . . 3 . . 3 . . 1 . . . . . . . . . . . . . . .  . . . . . . . . . . 1 . . 1 . . 2 . . . . … R>findAssocs(tdmO,”research”,0.95)             academ             access          accompani accord ace                  1                  1                  1    1 1             achiev             acquir           acquisit act activ                  1                  1                  1    1 1        ...