I am creating a Word Cloud based on Tweets from various different sports teams. This code executes successfully about 1 in 10 times:
handle <- 'arsenal'
txt <- searchTwitter(handle,n=1000,lang='en')
t <- sapply(txt,function(x) x$getText())
t <- gsub('http.*\\s*|RT|Retweet','',t)
t <- gsub(handle,'',t)
t_c <- Corpus(VectorSource(t))
tdm = TermDocumentMatrix(t_c,control = list(removePunctuation = TRUE,stopwords = stopwords("english"),removeNumbers = TRUE, content_transformer(tolower)))
m = as.matrix(tdm)
word_freqs = sort(rowSums(m), decreasing=TRUE)
dm = data.frame(word=names(word_freqs), freq=word_freqs)
wordcloud(dm$word, dm$freq, random.order=FALSE, colors=brewer.pal(8, "Dark2"),rot.per=0.5)
The other 9 out of 10 times, it throws the following error:
Error in simple_triplet_matrix(i = i, j = j, v = as.numeric(v), nrow = length(allTerms), :
'i, j, v' different lengths
In addition: Warning messages:
1: In mclapply(unname(content(x)), termFreq, control) :
all scheduled cores encountered errors in user code
2: In simple_triplet_matrix(i = i, j = j, v = as.numeric(v), nrow = length(allTerms), :
NAs introduced by coercion
Any ideas guys? I've googled, but so far have come up short! Keep in mind I'm an absolute newbie in R!
So after a bit of playing around, the following line of code has completely fixed my issue:
t <- iconv(t,to="utf-8-mac")