search for: removepunctuation

...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, function(x)removeWords(x,stopwords())) tdm <- TermDocumentMatrix(corp) m <- as.matrix(tdm) v <- sort(rowSums(m),decreasing=TRUE) d <- data.frame(word = names(v),freq=v) wordcloud(d$word,d$freq) I ended up with a large numb...

...in", "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.mat Terms Docs falls fetch hill jack jill mainly pail...

...apply(tw.df$text, RemoveAtPeople)) #The following is cribbed and seems to do what it says on the can tw.corpus = Corpus(VectorSource(df)) tw.corpus = tm_map(tw.corpus, function(x) iconv(enc2utf8(x), sub = "byte")) tw.corpus = tm_map(tw.corpus, tolower) tw.corpus = tm_map(tw.corpus, removePunctuation) tw.corpus = tm_map(tw.corpus, function(x) removeWords(x, c(stopwords("spanish"),"rt"))) tw.corpus = tm_map(tw.corpus, removeWords, my.stopwords) tw.corpus = tm_map(tw.corpus, stripWhitespace) sw <- readLines("stopwords.es.txt",encoding="UTF-8") sw =...

...yte") > d2<-readLines(txt2, encoding="UTF-8") > d2<-iconv(enc2utf8(d2), sub = "byte") > df<-c(d1,d2) > corpus<-Corpus(VectorSource(df)) > d<-tm_map(corpus, content_transformer(tolower)) > d<-tm_map(d, stripWhitespace) > d<-tm_map(d, removePunctuation) > sw<-readLines("./StopWords.txt", encoding="UTF-8") > sw<-iconv(enc2utf8(sw), sub="byte") > d<-tm_map(d, removeWords, sw) > d<-tm_map(d, removeWords, stopwords("spanish")) > tdm<-TermDocumentMatrix(d) > m<-as.matrix(tdm)...

...equire(tm) require(wordcloud) require(Rcpp) tmpinformes<-data.frame(c("todo el 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.ma...

...e) { info.dir<-sprintf("%s/%s", pathname, informes) info.cor<-Corpus(DirSource(directory=info.dir, encoding="UTF-8")) info.cor.cl<-tm_map(info.cor, content_transformer(tolower)) info.cor.cl<-tm_map(info.cor.cl, stripWhitespace) info.cor.cl<-tm_map(info.cor.cl,removePunctuation) sw<-readLines("C:/Users/d_2/Documents/StopWords.txt", encoding="UTF-8") sw<-iconv(enc2utf8(sw), sub = "byte") info.cor.cl<-tm_map(info.cor.cl, removeWords, stopwords("spanish")) info.tdm<-TermDocumentMatrix(info.cor.cl) result<-list(name...

...ye un corpus corpus <- Corpus(VectorSource(txt)) # lleva a minúsculas corpus <- tm_map(corpus, tolower) # quita espacios en blanco corpus <- tm_map(corpus, stripWhitespace) # remueve la puntuación corpus <- tm_map(corpus, removePunctuation) # carga el archivo de palabras vacías personalizada en español y lo convierte a ASCII sw <- readLines("D:/Publico/Documents/TextMinigSpanishResources/Stopwords.es.txt",encoding="UTF-8") sw = iconv(sw, to="ASCII//TRANSLIT") # remueve...

...uot;, pathname, informes) > > info.cor<-Corpus(DirSource(directory=info.dir, encoding="UTF-8")) > > info.cor.cl<-tm_map(info.cor, content_transformer(tolower)) > > info.cor.cl<-tm_map(info.cor.cl, stripWhitespace) > > info.cor.cl<-tm_map(info.cor.cl,removePunctuation) > > sw<-readLines("C:/Users/d_2/Documents/StopWords.txt", encoding="UTF-8") > > sw<-iconv(enc2utf8(sw), sub = "byte") > > info.cor.cl<-tm_map(info.cor.cl, removeWords, stopwords("spanish")) > > info.tdm<-TermDocumentMa...

...rtal"inmortal = readLines(TEXTFILE)inmortal = > 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 <- >...

...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) 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...

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 get the lenght of every document? hope you...

...chTwitter(hashTag, n=200) df <- do.call("rbind", 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...

...pus <- 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 <- DocumentTermMatrix(myCorpus, control = list(wordLengths = c(1,Inf)))...

...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, > >> stripWhitespa...

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

...ail( > > > >> 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...

.... Here is the full source code (all the librairies are already loaded): ------ Sys.setenv(NOAWT=TRUE) source <- ReutersSource("reuters-21578.xml", encoding="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