similar to: reading in MS Word files

For an historical paper I'm working on, I have some Spanish plaintext, presently in the form of a Word .doc file, http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/Langren/Verdadera-spanish-stripped.doc and also some ciphered text from the same original source. The ultimate goal is to use some frequency analysis of letters and word lengths in the plaintext to help decode the

I am using the package "tm" for text-mining of abstracts and would like to use it to find instances of gene names that may contain white space. For instance "gene regulatory protein 1". The default behavior of tm is to parse this into 4 separate words, but I would like to use the class constructor "dictionary" to define phrases such as just mentioned. Is this

I am using code that previously worked to remove stopwords using package "tm". Even manually adding "the" to the list does not work to remove "the". This package has undergone extensive redevelopment with changes to the function syntax, so perhaps I am just missing something. Please see my simple example, output, and sessionInfo() below. Thanks! Mark require(tm)

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 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 =

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, how can I import a document whose type is. "txt" using the package tm? it is the command to know that my document is not placed in the library package tm. thanks. -- View this message in context: http://r.789695.n4.nabble.com/text-mining-tp3552221p3552221.html Sent from the R help mailing list archive at Nabble.com.

Here''s an interesting problem: In my app, we are indexing various types of documents, including microsoft powerpoint. Powerpoint documents are mostly binary, but have a bunch of text (all of the text in the document?) as well. My thinking is that the binary will never get searched for, and the proper text will be indexed and queried as expected, so the indexed binary will never

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

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

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 :

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

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

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.

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

Hi: I need to do text mining on PDF files. I understand there is a readPDF command in tm that can be used. Have read the 2008 posts on converting PDF files to text by Tony Breyal and others. Wondering if the procedure has been standardized in any tutorial or otherwise? Being new to R, I was able to follow only part of the discussion. Any way to get a set of step by step instructions

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="'",

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="'",

Hi guys, I've been noticing more and more that antiword has trouble with many word documents. It may look like it's converted a document but leaves out headings and bits of text. I've been looking into getting openoffice to do it in headless mode but still have a way to go before it's stable. I was wondering if anyone else had any luck on this front? One quick fix I have found

I'm having trouble with a Bioconductor package, an variable expected in an environment does not seem to be there. As part of my investigation of the problem (most likely on my end) I'd like to list the variables contained in an environment. If you have an environment loaded, lets call it "pkgEnv', how does one find what it does contain? Mark