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July 27, 2017 13:13
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This is a quick R script that will generate a world cloud from a Slack app team export
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| #Obviously these need to be installed! | |
| library(jsonlite) | |
| library(tm) | |
| library(wordcloud) | |
| files <- list.files('.',"*.json", recursive=T) | |
| json <- sapply(files, fromJSON) | |
| texts <- sapply(json, function(f){if ('subtype' %in% names(f)) f$text[is.na(f$subtype)] else f$text}) | |
| flat <- unlist(texts) | |
| corpus <- Corpus(VectorSource(flat)) | |
| corpus <- tm_map(corpus, stripWhitespace) | |
| corpus <- tm_map(corpus, tolower) | |
| corpus <- tm_map(corpus, removePunctuation) | |
| corpus <- tm_map(corpus, removeNumbers) | |
| corpus <- tm_map(corpus, removeWords, stopwords('english')) | |
| #remove words slack adds | |
| corpus1 <- tm_map(corpus, removeWords, c('UZDP', 'UULQF', 'UKZS','UCNJ', 'UUJX','UULQF')) | |
| wordcloud(corpus1, scale=c(2.5,0.5), max.words=1000, random.order=FALSE, rot.per=0.35, use.r.layout=FALSE, colors=brewer.pal(8, "Dark2")) |
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A couple of bug fixes:
corpus1 <- tm_map(corpus1, removeWords, c('UZDP', 'UULQF', 'UKZS','UCNJ', 'UUJX','UULQF'))should becorpus1 <- tm_map(corpus, removeWords, c('UZDP', 'UULQF', 'UKZS','UCNJ', 'UUJX','UULQF'))(I think)tolowerline need to becorpus <- tm_map(corpus, content_transformer(tolower))on newesttmversions