similar to: Reading stopwords from a csv file

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 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)

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)

Buenas tardes, grupo. Estoy tratando de hacer la comparación de dos archivos de una misma organización para encontrar las diferencias entre su informe del tema edl año 2005 y el del año 2013: Todos los comandos van bien, a exepción del último "colnames", como se ve en la siguiente secuencia: > pdf1<-"./PLAN de INSPECCIONES/05_seguridad_ciudadana.pdf" >

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)))>

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

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 <-

Thanks for your reply. I know the command data <- tm_map(data, removeWords, stopwords("english")) removes English stop words, I don't know how should I count stop words of my string: str="Mhm . Alright . There's um a young boy that's getting a cookie jar . And it he's uh in bad shape because uh the thing is falling over . And in the picture the mother is

Defining data as you mentioned in your respond causes the following error: Error in UseMethod("tm_map", x) : no applicable method for 'tm_map' applied to an object of class "character" I can solve this error by using Corpus(VectorSource(my string)) and the using your command but I cannot see the number of stop words in my string! On Monday, June 12, 2017 8:36

define your string as whatever object you want: data <- "Mhm . Alright . There's um a young boy that's getting a cookie jar . And it he's uh in bad shape because uh the thing is falling over . And in the picture the mother is washing dishes and doesn't see it . And so is the the water is overflowing in the sink . And the dishes might get falled over if you don't fell

Buenas tardes grupo. Saludos cordiales Carlos J., muchas gracias por tu orientación. Efectivamente, me había dado cuenta que la razón por la que no se aplicaba colnames era porque no tenía columnas. La cuestión es que no logro visualizar completamente/claramente en qué parte del proceso de creación del corpus se puede hacer. Sin embargo, siguiendo el ejemplo de

I tried making a wordcloud of Obama's State of the Union address using the tm package to process the text sotu <- scan(file="c:/R/data/sotu2012.txt", what="character") sotu <- tolower(sotu) corp <-Corpus(VectorSource(paste(sotu, collapse=" "))) corp <- tm_map(corp, removePunctuation) corp <- tm_map(corp, stemDocument) corp <- tm_map(corp,

You can define stop words as below. data <- tm_map(data, removeWords, stopwords("english")) Patrick Casimir, PhD Health Analytics, Data Science, Big Data Expert & Independent Consultant C: 954.614.1178 ________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Bert Gunter <bgunter.4567 at gmail.com> Sent: Monday, June 12, 2017

Buenas noches grupo. Saludos cordiales. He seguido en la búsqueda de una forma que me permita realizar la comparación de dos documentos pertenecientes a los años 2005 y 2013, y que pueda representar finalmente con wordcloud y con una table en la que las columnas sean los años de cada informe "2005" y "2013", y las filas sean las palabras con la frecuencia de cada una de ellas

Hi to all, I need to append/delete stopwords from the list that i can use from de TM package. I use Portuguese stopwords. When i see the list of stopwords using >stopwords("portuguese") I have some words with special characters like this: "verdadeiro" "voc??" "voc??s" "vos" I try to change the portuguese.dat file from

Hola, La referencia (gracias por proporcionarla) que has incluido es bastante clara y se puede seguir. ¿Has podido sobre tus dos discursos utilizar la misma lógica? La forma de salir de dudas, para empezar, es que adjuntaras el código que estás empleando por ver si hay algún error evidente. Aunque la forma adecuada para que te podamos ayudar es con un ejemplo reproducible: código + datos.

Hi! I created a corpus and I started to clean through this piece of code: txt <-tm_map(txt,removeWords, stopwords("spanish")) txt <-tm_map(txt,stripWhitespace) txt <-tm_map(txt,tolower) txt <-tm_map(txt,removeNumbers) txt <-tm_map(txt,removePunctuation) But something happpended: some of the documents in the corpus became empty, this is a problem when i try to make a

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

Hi! I would like to use the lists of stopwords provided with Xapian. Are there some standard way to remove stopwords automatically, or should I implement it mysel in the indexer? Regards, Georges Dupret

Hi, I do not understand the stopword function... I've set the termgenerator like this: $self->{'Stemmer'} = new Search::Xapian::Stem(german2); $self->{'Stopper'} = new Search::Xapian::SimpleStopper(); $self->{'TermGenerator'} = new Search::Xapian::TermGenerator; $self->{'TermGenerator'}->set_stemmer( $self->{'Stemmer'} );