similar to: Extracting certain text using tm package

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),

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 =

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.

I'm running tm 0.5 on R 2.9.2 on a MacBook Pro 17" unibody early 2009 2.93 GHz 4GB RAM. I have a directory with 1697 plain text files on the Mac, that I want to analyze with the tm package. I have read the documents into a corpus, Corpus_3compounds, as follows: # Assign directory to a character vector dirName <- "/Volumes/RDR Test Documents/3Compounds/TXT" # Put the

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

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

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

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 =

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

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

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, 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

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

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)

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: 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)))>

Greetings Zaki, You should really post this question on the R-help forum so that others might benefit from any responses. It's been a while since I've done this, but if memory serves, the basic process was to download xpdf and add it to the windows path, thus making it accessable from within R. Two methods follow: Method One (easiest) - using the awesome ?system command: (1) Download

Howdy Gurus I 'd like to ask a question about how to build TermDocMatrix in tm text mining package. It is not clear about importing a plain text file, and them converting that text file into TermDocMatrix file, etc to me. How can I build a TermDocMatrix of " a plain text document file for text association? Or are there any good manuals? Thank you in advance, -- Kum-Hoe Hwang, Ph.D.

Hi, I bumped into a serious issue while trying to analyse some texts in Bulgarian language (with the tm package). I import a tab-separated csv file, which holds a total of 22 variables, most of which are text cells (not factors), using the read.delim function: data<-read.delim("bigcompanies_ascii.csv", header=TRUE, quote="'",