Wordcloud + corpus error in R

Question

I want to use the Wordcloud function to create a cloud based on twitter data. I installed twitter package and worked with api. After that I do the following.

bigdata <- searchTwitter("#bigdata", n=20) bigdata_list <- sapply(bigdata, function(x) x$getText()) bigdata_corpus <- Corpus(VectorSource(bigdata_list)) bigdata_corpus <- tm_map(bigdata_corpus, content_transformer(tolower), lazy=TRUE) bigdata_corpus <- tm_map(bigdata_corpus, removePunctuation, lazy=TRUE) bigdata_corpus <- tm_map(bigdata_corpus, function(x)removeWords(x,stopwords()), lazy=TRUE) wordcloud(bigdata_corpus) 

An error message appears for the Wordcloud command:

 Error in UseMethod("meta", x) : no applicable method for 'meta' applied to an object of class "try-error" In addition: Warning messages: 1: In mclapply(x$content[i], function(d) tm_reduce(d, x$lazy$maps)) : all scheduled cores encountered errors in user code 2: In mclapply(unname(content(x)), termFreq, control) : all scheduled cores encountered errors in user code 

I tried different corps commands, but did not seem to understand. Any ideas?

Answer 1

You can try the following:

 library("tm") # Transform your corpus in a term document matrix bigdata_tdm <- as.matrix(TermDocumentMatrix(bigdata_corpus)) # Get the frequency by words bigdata_freq <- data.frame(Words = rownames(bigdata_tdm), Freq = rowSums(bigdata_tdm), stringsAsFactors = FALSE) # sort bigdata_freq <- bigdata_freq[order(bigdata_freq$Freq, decreasing = TRUE), ] # keep the 50 most frequent words bigdata_freq <- bigdata_freq[1:50, ] # Draw the wordcloud library("wordcloud") wordcloud(words = bigdata_freq$Words, freq = bigdata_freq$Freq) 

Both methods work with tm_0.6 and wordcloud_2.5 .