similar to: Error "... x must be atomic" when using lsa (latent semantic analysis) package

In case someone else runs into this, I found the problem, it was related to having some zero-length text files. Make sure you have valid (non-empty) data files for loading into the document-term matrix. Alex ---------- Forwarded message ---------- From: Alex McKenzie <ahmckenzie@gmail.com> Date: Mar 25, 2008 2:07 AM Subject: Error "... x must be atomic" when using lsa (latent

Hello all, I'm brand new to the use of R, and I'm trying to quickly learning the rudiments for a couple of projects here at work. I'm working with the lsa package and trying to generate various semantic spaces. I seem to do well with small collections of clean text files, but now that I am trying to work with larger collections of less than perfection files, I'm getting errors

Dear R team, The following piece of code (to use the lsa package) works fine on my mac os x, but when I run the same code on Windows XP, it doesn't work any more. ### code: library("lsa") matrix1 = textmatrix("C:\\Documents and Settings\\tine stalmans.TINE. 000\\LSA\\cuentos\\", stemming=TRUE, language="spanish", minWordLength=2, minDocFreq=1,

I have a problem with the textmatrix() function of the LSA package whenever I specify 'removeNumbers=TRUE'. The data for the function are stored in a directory LSAwork which consists of a series of files that houses the text in column form. As long as removeNumbers = FALSE or it is not present the textmatrix function works just fine. The error message I get seems to suggest it is

Hello Jerad, > It was suggested I contact you for possible help with this issue. Well, > as you can see for the emails below, that is what I was told at R-help. > Any insight to my lsa problems (also listed below) would be of great > help. from what I see, the problem probably indeed lies within the textfiles: for performance reasons, it was not possible to include any

I am using 'tm' package for text mining and facing an issue with finding the frequently occuring terms. From the definition it appears that findFreqTerms and minDocFreq are equivalent commands and both tries to identify the documents with terms appearing more than a specified threshold. However, I am getting drastically different results with both. I have given the results from both the

Hi, I just noticed that by inspecting the matrix term that no all stopwords are removed, does someone know how to fix that? library(tm) data("crude") d<-tm_map(crude, removeWords, stopwords(language='english')) dt<-DocumentTermMatrix(d,control=list(minWordLength=3, minDocFreq=2)) inspect( dt) I am using R version 2.10, tm package 0.5-3 cheers Welma [[alternative HTML

Hi all, I am trying to do some text mining with twitter and I am getting the error: Error in structure(names(sapply(possibleCompletions, "[", 1)), names = x) : 'names' attribute [1] must be the same length as the vector [0] When I use tm_map. Has anyone had/seen this error before? The code I have is shown below and this error only occurs with #qantas, hashtags like #asx,

I have recently started using "tm" package by Feinerer, K. Hornik, and D. Meyer. While trying to create a term-document matrix from a corpus (approxly 440 docs) I get the following error: tdm <- TermDocumentMatrix(tmp, control=list(weighting=weightTfIdf, minDocFreq=2, minWordLength=3)) *Error in rowSums(m > 0) : 'x' must be an array of at least two dimensions* This error

Dear all, I have some troubles using the stemming algorithm provided by the tm (text mining) + Snowball packages. Here is my config: MacOS 10.5 R 2.12.0 / R 2.13.1 / R 2.14.1 (I have tried several versions) I have installed all the needed packages (tm, rJava, rWeka, Snowball) + dependencies. I have desactivated AWT (like written in

Since I was recently asked off-list - thought I'd make this available if it will help anyone else. Attached is my (I hope) working 6.4.1 config. Also some instructions: First, you have to decide if you're running in standalone or cloud mode. Standalone is simpler, but I seem to be having better luck running in cloud mode - even though I'm only using a single

Hi list members I have a vector of strings x=c("w","ex","ee") And I want to get a logical vector showing the positions where my search string "e" matches the elements partially, i.e. is at least the left-hand part of the target strings, i.e. I want to get a vector FALSE TRUE TRUE. Any ideas? Thanks Steve Powell proMENTE social research research |

Hello all, I've been working with R & Fridolin Wild's lsa package a bit over the past few months, but I'm still pretty much a novice. I have a lot of files that I want to use to create a semantic space. When I begin to run the initial textmatrix( ), it runs for about 3-4 hours and eventually gives me an error. It's always "ERROR: cannot allocate vector size of xxx

Hi,all, Recently I invented a new ranking algorithm inspired by the theory of spread activation and probabilistic model, which can find the latent semantic relationship between docs and terms and is almost linear time, and I took one afternoon to code and implement this algorithm. And the testing result shows that the speed of this algorithm is much faster than the famous Latent Semantic Analysis

I''ve been trying to use Classifier::LSI to provide a means of finding ''related items'', where each item is a one line description of a product. Although on small samples the Classifier works great, it completely baulks on my current dataset of 3000 items. I''ve started to look at ferret this morning, following a post on the ruby mailing list. I''d

Hey alltogether, refacturing a package (before it will be released), I ran across the following problem. I have two directories with different text files, I want to read the first and construct a document-term matrix from it (every term=word in a row, every file in a column, occurrence frequencies form the values). The second directory contains different files. It needs to be read in to also

Greetings, I have been asked to use NetEm to do a laboratory emulation of some low performance links of subset of a target network. My task manager has asked me to determine whether LSAs will increase in the lab configuration as compared to the target network. The subset of the target network that I have to emulate consists of 6 routers, A..F, in the following configuration, where (i) and

Hi everybody! First of all, I would like to point that I am newebie in using R. The issue is that I need to install lsa package in R. In theory, I have downloaded and installed all necessary packages to run lsa library, but when I am going to load it I get this message: > library(lsa)Loading required package: SnowballError : .onLoad failed in loadNamespace() for 'Snowball', details:

Dear r-helpers, I can't get lsa to run because: > library(lsa) Loading required package: Rstem Error in library(pkg, character.only = TRUE, logical = TRUE, lib.loc = lib.loc) : 'Rstem' is not a valid package -- installed < 2.0.0? In addition: Warning message: cannot create HTML package index in: make.packages.html() > install.packages('Rstem') Warning in

As far as I saw, since some microsoft patch for AD, winbind client from samba 3.0.14 (and prior versions) does not work properly for getting users and groups from Active Directory. This problem was solved in 3.0.20. I saw the following text in the samba 3.0.20 changelog: "Disable schannel on the LSA and SAMR pipes in winbindd client code to deal with Windows 2003 SP1 and Windows 2000 SP4