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 <rahulutub...@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.ste...@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 <rahulutub...@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]] > > > > > > ______________________________________________ > > > R-help@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. > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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. > [[alternative HTML version deleted]] ______________________________________________ R-help@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.
