[R] NEED HELP : Association in single DTM

[Bert Gunter]

In general, statistical methodology queries, which seems to be your
concern,  are offtopic here.This list is about R programming.  Consider
stats.stackexchange.com  for statistical queries.

However, the CRAN task view on natural language processing might be useful,
so you may wish to check it:

https://cran.r-project.org/web/views/NaturalLanguageProcessing.html

Cheers,
Bert




Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Wed, Nov 15, 2017 at 6:17 PM, Rahul singh <rahulutube69 at gmail.com> wrote:

> Hi Boris,
>
> In that case, if I have lot of free text data (let us assume part of an
> Election speech) in one single TEXT document, and i want to find the
> association of the top 3 most frequently occurring words with the other
> words in the speech, what method do I adopt ?
>
> On Wed, Nov 15, 2017 at 7:08 PM, Boris Steipe <boris.steipe at utoronto.ca>
> wrote:
>
> > If you consider the definition of a DTM, and that findAssoc() computes
> > associations between words as correlations across documents(!), you will
> > realize that you can't what you want from a single document. Indeed, what
> > kind of an "association" would you even be looking for?
> >
> > B.
> >
> >
> >
> > > On Nov 15, 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]]
> > >
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> > posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible code.
> >
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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