similar to: tm: Why does adding local metadata take so long?

Hi List I have the next code and the error. I have try with other codes and I have the same problem. > reut21578 <- system.file("texts", "crude", package = "tm") > (r <- Corpus(DirSource(reut21578), readerControl = list(reader = > readReut21578XMLasPlain))) A corpus with 20 text documents > (r <- Corpus(DirSource(reut21578), readerControl =

Dear fellow R users, I'm using the package tm for text mining, and have a problem with reading in a corpus from XML files. When I copy the example from "Introduction to the tm package" of the small reuters subset "crude", everything goes well, and I get a corpus with the required meta data. When I read in the entire reuters21578 corpus in XML format however (or a

Howdy Gurus again Thanks to Tony.Breyal, I was able to writing the following script for analyzing a text document. But I got an error with "tm' package. I don't why I got the error from the R script below. I think I followed proccess of R tm manual. I use R v2.8.1. and tm_0.3-3.zip under Win XP. Thanks in advance, Kum Hwang > # setting directory > my.path

I am looking to do some text analysis using R and have run into some issues with some of the packages. Im not sure if its my goofy Vista OS or what but using R 2.8.1 i s relatively successful loading the text but the rJava package was messed up somehow: library(tm) > library(rJava) Error in if (!nchar(javahome)) stop("JAVA_HOME is not set and could not be determined from the

Help with tm assocation analysis and Rgraphviz installation. THANK YOU IN ADVANCE Question 1: I saved two txt file in C:\textfile And each txt file contents only one text column, and both have 100 records. I know term “research” occurs 49 times, so I want to find out which other words are correlated to this word, and I got tons of association ‘1’ . I tried other terms, and no

Hello, I am working on "tm" package. I have 2 pdf files saved in the directory D:/Files I issued the following commands (marked in red bold) for which I got some errors and warnings (marked in bold) *surgj <- Corpus(DirSource("D:/Files"), readerControl = list(language = "ansi"))* *Warning messages: 1: In readLines(y, encoding = x$Encoding) : incomplete final

Hi R-Users,   Thanks in advance.   I am using R-2.12.0 on Windows XP.   I am trying to produce an n X m matrix from text data stored in different files. Where n = number of words (say w1, w2, …, wn). M is the number of 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),

The following code is derived from a paper titled "Text Mining Infrastructure in R" (http://www.jstatsoft.org/v25/i05/paper). The example below seems to load some default documents for analysis, some sort of latin document. I cannot for the life of me figure out to load my own document let alone an entire corpus. I have searched the above documenet as well as related documentation.

Hi, I'm using version 0.5.1 of tm package with R 2.10.1. It looks to me as if after the following reuters21578 <- Corpus(DirSource(corpusDir), readerControl = list(reader = readReut21578XMLasPlain)) reuters21578 <- tm_map(reuters21578, stripWhitespace) reuters21578 <- tm_map(reuters21578, tolower) reuters21578 <- tm_map(reuters21578, removePunctuation)

I have used "tm" package to import a set of text documents using the following command: text <- Corpus(DirSource("."),readerControl = list(language ="ansi")) I would like to extract only a certain portion of the text in each document using certain keywords. For example, I would like to include all the text between key words <Start Text> and <End

Hello. I am trying to work with the text mining package tm. I have a directory called textsTweet1 which contains three files short.txt myTextFile.txt myTextFile.csv short.txt contains one line: THE CAT IN THE HAT\n myTextFile contains some tweets from Twitter. The first few lines of myTextFile.txt are: @oliviamunn I miss a good Yakaniku...I miss Japan...I NEED COCO EVERYBODY. I NEED TO GET ON

Thanks all for your help. I fear text mining is an abstract little corner of "R". I have imported 3228 text (.txt) files, each a news story, into R using [tm]: textd <- Corpus(DirSource("other/docs"), readerControl = list(reader =readPlain)) I can pre-process each individual document using tolower(textd[[1]]) however, when I try to run tmTolower() I get a no such command

Hi, I’m using R (TM package) for text mining and I’m having problems filtering articles out of my data set by local meta data. Here is the code: *data <- ("C:/… /19970331")* * * * * *rs <- ReutersSource(data , encoding = "UTF-8")* *RC <- VCorpus(DirSource(data), readerControl = list(reader = readRCV1asPlain,* * language = "en_US",* * load =

R Project I receive the erro highlighted in yellow when attempting to combine two Corpus, so I'm assuming I'm not combining the two variables (nb_pos and nb_neg) in the following line nb_all <- c(nb_pos,nb_neg,recursive=TRUE) # anyone see anything wrong with this line of code -------------------------------------------------- > library("tm") Loading

Hi, Gurus Thanks to your good helps, I have managed starting the use of a text mining package so called "tm" in R under the OS of Win XP. However, during running the tm package, I got another mine like memory problem. What is a the best way to solve this memory problem among increasing a physical RAM, or doing other recipes, etc? ############################### ###### my R

Hello, I want to use the SnowballStemmer on a collection of plain text documents. However, when I apply it to my corpus using the tm_map function it only stems the last word of each document (The problem is the for wordStem and stemDocument does not work at all).  An example: > path <- c("c:\path\to\directory")       # collection of plain text documents > corp <-

Hi all, I have tried to create a DocumentTermMatrix with a tm package, but i get this error : Error in tolower(txt) : invalid input 'PROD Z LAHKO GNETNO MELJNO GLINO, ... in 'utf8towcs' I tried doing this as it is showed in : http://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf (An Introduction to Text Mining), with this R code :

Hi: I try to construct a Document-Term Meatrix from a corpus. The commands I used are: > library(parallel)> library(tm)> library(RWeka)> library(topicmodels)> library(RTextTools)> cl=makeCluster(detectCores())> invisible(clusterEvalQ(cl, library(tm)))> invisible(clusterEvalQ(cl, library(RWeka))) > invisible(clusterEvalQ(cl, library(topicmodels)))>

Hola a todos! Tengo algunos problemas con el tamaño de la matriz de términos que obtengo. Los comandos que utilizo son los siguientes: # carga librerias library(tm) library(wordcloud) library(Rstem) library(Snowball) # lee el documento UTF-8 y lo convierte a ASCII txt <-

No es un problema de tm ni de SnowfallC ni de mcapply (por el path utilizas linux, en windows mcapply según el manual no va bien) No defines bien los objetos que pasas. Pasas doc.corpus en lugar de corpus ( o asignas a corpus en lugar de a doc.corpus) . Depura los programas cuando salga un error de objeto, como te pone en el Error que pasas . Temporalmente lo tienes arreglado en