search for: removenumb

I am using gsub to remove numbers for each element of a list. Code is given below. testList <- list("this contains a number 1000","this does not contain") removeNumbers <- function(X) { gsub("\\d","",X) } outputList <- lapply(testList,removeNumbers) However, when I try to find the number of words in outputList as follows outLength <- lapply(strsplit(outputList," "),length) it throws out the following error:...

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 finding...

...ain in Spain", "falls mainly on the plain", "jack and jill ran up the hill", "to fetch a pail of water") text.corp <- Corpus(VectorSource(myDocument)) ######################### text.corp <- tm_map(text.corp, stripWhitespace) text.corp <- tm_map(text.corp, removeNumbers) text.corp <- tm_map(text.corp, removePunctuation) ## text.corp <- tm_map(text.corp, stemDocument) text.corp <- tm_map(text.corp, removeWords, c("the", stopwords("english"))) dtm <- DocumentTermMatrix(text.corp) dtm dtm.mat <- as.matrix(dtm) dtm.mat > dtm.m...

...talkin to u last time !!! starts at 4pm. come get sunny munny :) kind of scary to imagine what needs military wiping!!!! #.....más.contenido del corpus...... si quiero aplicarle un función propia de limpieza de corpus, por ejemplo eliminar los números presentes en el corpus > tm_map(txt[[1]], removeNumbers) <<VCorpus (documents: 1, metadata (corpus/indexed): 0/0)>> no hace nada de nada... Saludos Oscar El 10 de abril de 2015, 1:15, Jorge I Velez <jorgeivanvelez en gmail.com> escribió: > Oscar, > > Una forma de trabajar con este tipo de archivos es utilizando lis...

...> readLines(TEXTFILE)length(inmortal)head(inmortal)tail(inmortal)library(tm)vec > <- VectorSource(inmortal)corpus <- > Corpus(vec)summary(corpus)inspect(corpus[1:7])corpus <- tm_map(corpus, > tolower)corpus <- tm_map(corpus, removePunctuation)corpus <- tm_map(corpus, > removeNumbers)corpus <- tm_map(corpus, removeWords, > stopwords("english"))inspect(doc.corpus[1:2])library(SnowballC)corpus <- > tm_map(corpus, stemDocument)corpus <- tm_map(corpus, > stripWhitespace)inspect(doc.corpus[1:8])TDM <- > TermDocumentMatrix(corpus)TDM* > > po...

...y :) >> kind of scary to imagine what needs military wiping!!!! >> #.....más.contenido del corpus...... >> >> >> si quiero aplicarle un función propia de limpieza de corpus, por ejemplo >> eliminar los números presentes en el corpus >> > tm_map(txt[[1]], removeNumbers) >> <<VCorpus (documents: 1, metadata (corpus/indexed): 0/0)>> >> >> no hace nada de nada... >> >> Saludos >> >> Oscar >> >> >> >> >> >> El 10 de abril de 2015, 1:15, Jorge I Velez <jorgeivanvelez en gma...

...(DirSource(corpusDir), readerControl = list(reader = readReut21578XMLasPlain)) reuters21578 <- tm_map(reuters21578, stripWhitespace) reuters21578 <- tm_map(reuters21578, tolower) reuters21578 <- tm_map(reuters21578, removePunctuation) reuters21578 <- tm_map(reuters21578, removeNumbers) reuters21578.dtm <- DocumentTermMatrix(reuters21578) that reuters21578.dtm does not include terms from the Heading (e.g. the Title). I'm wondering if anyone can confirm this and if so, is there an option to have the terms from the Heading included? Many thanks! Cheers, David

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 document term matrix with tfidf. Is there any way to eliminate automatically a document if it become empty? Or manually, how could i ge...

...ind", lapply(tweets, as.data.frame)) myCorpus <- Corpus(VectorSource(df$text)) myCorpus <- tm_map(myCorpus, function(x) iconv(enc2utf8(x), sub = "byte")) myCorpus <- tm_map(myCorpus, tolower) myCorpus <- tm_map(myCorpus, removePunctuation) myCorpus <- tm_map(myCorpus, removeNumbers) myStopwords <- c(stopwords('english'), "available", "via") myCorpus <- tm_map(myCorpus, removeWords, myStopwords) dictCorpus <- myCorpus myCorpus <- tm_map(myCorpus, stemDocument) ################ERROR HAPPENS ON NEXT LINE###############################...

...b("&amp;", "", x)> myCorpus <- tm_map(myCorpus, removeAmp)> removeWWW <- function(x) gsub("www[[:alnum:]]*", "", x)> myCorpus <- tm_map(myCorpus, removeWWW)> myCorpus <- tm_map(myCorpus, tolower)> myCorpus <- tm_map(myCorpus, removeNumbers)> myCorpus <- tm_map(myCorpus, removePunctuation)> myCorpus <- tm_map(myCorpus, removeWords, stopwords("english"))> myCorpus <- tm_map(myCorpus, removeWords, stopwords("SMART"))> myCorpus <- tm_map(myCorpus, stripWhitespace)> myDtm <- DocumentTer...

...al)tail( > >> inmortal)library(tm)vec > >> <- VectorSource(inmortal)corpus <- > >> Corpus(vec)summary(corpus)inspect(corpus[1:7])corpus <- > >> tm_map(corpus, tolower)corpus <- tm_map(corpus, > >> removePunctuation)corpus <- tm_map(corpus, removeNumbers)corpus <- > >> tm_map(corpus, removeWords, > >> > stopwords("english"))inspect(doc.corpus[1:2])library(SnowballC)corpus > >> <- tm_map(corpus, stemDocument)corpus <- tm_map(corpus, > >> stripWhitespace)inspect(doc.corpus[1:8])TDM <- &g...

Dear Forum, when I try to use SnowballStemmer() I get the following error message: "Could not initialize the GenericPropertiesCreator. This exception was produced: java.lang.NullPointerException" It seems to have something to do with either Snowball or RWeka, however I can't figure out, what to do myself. If you could spend 5 minutes of your valuable time, to help me or give me a

...tm)vec > > > >> <- VectorSource(inmortal)corpus <- > > > >> Corpus(vec)summary(corpus)inspect(corpus[1:7])corpus <- > > > >> tm_map(corpus, tolower)corpus <- tm_map(corpus, > > > >> removePunctuation)corpus <- tm_map(corpus, removeNumbers)corpus <- > > > >> tm_map(corpus, removeWords, > > > >> > > > stopwords("english"))inspect(doc.corpus[1:2])library(SnowballC)corpus > > > >> <- tm_map(corpus, stemDocument)corpus <- tm_map(corpus, > > > >> st...

...l informe 2005", "todo el informe 2013"), row.names=c("2005", "2013")) ds<- DataframeSource(tmpText) ds<- DataframeSource(tmpinformes) corp = Corpus(ds) corp = tm_map(corp,removePunctuation) corp = tm_map(corp,content_transformer(tolower)) corp = tm_map(corp,removeNumbers) corp = tm_map(corp, stripWhitespace) corp = tm_map(corp, removeWords, sw) corp = tm_map(corp, removeWords, stopwords("spanish")) term.matrix<- TermDocumentMatrix(corp) term.matrix<- as.matrix(term.matrix) colnames(term.matrix) <- c("Año2005","Año2013") png...

...coding="UTF-8") reuters <- Corpus(source) reuters <- tm_map(reuters, as.PlainTextDocument) reuters <- tm_map(reuters, removePunctuation) reuters <- tm_map(reuters, tolower) reuters <- tm_map(reuters, removeWords, stopwords("english")) reuters <- tm_map(reuters, removeNumbers) reuters <- tm_map(reuters, stripWhitespace) reuters <- tm_map(reuters, stemDocument) ------ Thank you for your help, Julien

You can use regular expressions. ?regex and/or the stringr package are good places to start. Of course, you have to define "stop words." Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Jun 12, 2017 at 5:40

Estimados, les escribo para consultar, lo siguiente: Estoy haciendo un trabajo de text mining y necesito importar una serie de textos para preprocesarlos, es decir eliminar los Stopwords, hacer stemming, eliminar signos de puntuación etc. Esto último lo puedo realizar con los datasets que trae la librería TM. Lo que no puedo lograr es importar texto desde algún medio a pesar que existe funciones

Hi all, Is there a way in R to count the number of stop words (English) of a string using tm package? 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 washing dishes and doesn't see it . And so is the the water is overflowing in the sink . And the

Hola a todos! Estoy en un proyecto de text mining y por razones de los recursos con que cuento tuve que separar los archivos de texto de input del proyecto en muchos archivos pequeños. Luego de transformar cada uno de estos archivos en un corpus separado, puedo aplicar limpieza sobre cada corpus, buscar n-gramas, construir cada termDocumentMatrix y finalmente reunir todo en una sola TDM. Pero

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)