search for: textmine

...f documents (say d1, d2, …, dm)   A. Using package tm   I am using package tm to do the job. I have provided the code below:   > my.corpus <- Corpus(DirSource(my.path), readerControl = list (reader=readPlain))   In readLines(y, encoding = x$Encoding) :   incomplete final line found on 'M:\textmine/slr.txt'   > x <- TermDocMatrix(my.corpus) Error: could not find function "TermDocMatrix"   B. Using package(s) other than tm    Once again, thank you very much for the time you have given.   Regards,   Deb   The code:   library(tm) my.path<- 'M:\\textmine' my.corpus...

CRAN (and crantastic) updates this week New packages ------------ * DCGL (1.0) Bao-Hong Liu http://crantastic.org/packages/DCGL Functions for basic differential coexpression analyses: gene filtering, link filtering, DCG (Differentially-Coexpressed Gene) identification and DCL (Differentially-Coexpressed Links) identification.Two algorithms,named DCP and DCe, are provided for

Cordial Saludo Actualmente estoy realizando una función para gráficar una nube de palabras el código que tengo es el siguiente: library(twitteR)library(tm)library(wordcloud)library(RXKCD)library(RColorBrewer) tweets=searchTwitter(''@afflorezr'', n=1500) generateCorpus= function(tweets,my.stopwords=c(),min.freq){ #Install the textmining library require(tm) require(wordcloud)

Hi, I have a collection of .txt documents in my working folder for which I want to do some text mining. If I run TextDocCol from the tm package, R crashes with some memory issues. Does anyone has any idea if this is related to R itself or to the tm package? Below you can find what is happening here. > setwd("/home/jan/Work/2008/Profacts/textmining/tryouts/workfolder") >

Hi, I was wondering what the best equivalent to SAS's FASTCLUS and PROC CLUSTER would be. I need to be able to test the significance of the clusters by comparing the probability of obtaining an equal or greater pseudo F to the Bonferroni-corrected level. I will also need to plot r squared against the number of clusters. Thanks so much, Taisa [[alternative HTML version deleted]]

Hi: I am trying to cluster the rows of a text file with kmeans: I load the data as follows file1 <- read.csv("somefile.csv") and the file can be viewed having the following line of words > file1 1 word1 word3 word4 word1 2 word1 word4 word3 word1 3 word4 word2 word4 word3 4 word4 word2 word1 word3 5 word2 word2 word4 word2 file_as_matrix <- as.matrix(file1); Now,

I am using ferret right now, and it works great for all my regular text documents/information. My problem arises when I want to index/search all of our assets (mostly pdf files). Currently, there is no way to READ pdfs from Ruby. Because of this I have to resort to using Java to read the PDF''s and then Lucene to index them. My problem here is a couple things. One, to index a asset I have

Hi, All: I am new to R and tm package. I'm trying to do the stemming using tm_map() and it doesn't seem to work: *I used:* > stemDocument(t_cmts[[100]]) *Where t_cmts is the corpus object, the results is:* bottle loose box abt airpak sections top plastic bottle squashed nearly flush neck previous shipments bottle wrapped securely bubble wrap wno bottle damage packaging poor

Hi ho folks: I'm running the indicated version of R on Hardy Heron Ubuntu. (Yes, I am quite aware that it is considered old news but then I don't run the "latest and greatest" computer gear. I've tried both Gnome and KDE editions of Ubuntu Lynx and even a current run of Fedora. I find Heron simply works better on my machine.) When I try to install RcmdrPlugin.PT most of