Word CloudLicense: MIT

README.md

A simple word cloud generator, based on this blog post by PirateGrunt.

DESCRIPTION

Title: Word cloud
Author: Fereshteh Karimeddini <fereshteh@rstudio.com>
AuthorUrl: http://www.rstudio.com/
License: MIT
DisplayMode: Showcase
Tags: wordcloud text-mining actionbutton
Type: Shiny

global.R

library(tm)
library(wordcloud)
library(memoise)

# The list of valid books
books <<- list("A Mid Summer Night's Dream" = "summer",
              "The Merchant of Venice" = "merchant",
              "Romeo and Juliet" = "romeo")

# Using "memoise" to automatically cache the results
getTermMatrix <- memoise(function(book) {
  # Careful not to let just any name slip in here; a
  # malicious user could manipulate this value.
  if (!(book %in% books))
    stop("Unknown book")

  text <- readLines(sprintf("./%s.txt.gz", book),
    encoding="UTF-8")

  myCorpus = Corpus(VectorSource(text))
  myCorpus = tm_map(myCorpus, tolower)
  myCorpus = tm_map(myCorpus, removePunctuation)
  myCorpus = tm_map(myCorpus, removeNumbers)
  myCorpus = tm_map(myCorpus, removeWords,
    c(stopwords("SMART"), "thy", "thou", "thee"))

  myDTM = TermDocumentMatrix(myCorpus,
              control = list(minWordLength = 1))
  
  m = as.matrix(myDTM)
  
  sort(rowSums(m), decreasing = TRUE)
})

merchant.txt.gz

romeo.txt.gz

screenshot.png

server.R

library(shiny)
library(shinyIncubator)
 
# Text of the books downloaded from:
# A Mid Summer Night's Dream:
#  http://www.gutenberg.org/cache/epub/2242/pg2242.txt
# The Merchant of Venice:
#  http://www.gutenberg.org/cache/epub/2243/pg2243.txt
# Romeo and Juliet:
#  http://www.gutenberg.org/cache/epub/1112/pg1112.txt
 
shinyServer(function(input, output, session) {
  # Define a reactive expression for the document term matrix
  terms <- reactive({
    # Change when the "update" button is pressed...
    input$update
    # ...but not for anything else
    isolate({
      withProgress(session, {
        setProgress(message = "Processing corpus...")
        getTermMatrix(input$selection)
      })
    })
  })

  # Make the wordcloud drawing predictable during a session
  wordcloud_rep <- repeatable(wordcloud)

  output$plot <- renderPlot({
    v <- terms()
    wordcloud_rep(names(v), v, scale=c(4,0.5),
                  min.freq = input$freq, max.words=input$max,
                  colors=brewer.pal(8, "Dark2"))
  })
})

summer.txt.gz

ui.R

library(shiny)
library(shinyIncubator)

shinyUI(fluidPage(
  progressInit(),

  # Application title
  headerPanel("Word Cloud"),
  
  # Sidebar with a slider and selection inputs
  sidebarPanel(width = 5,
    selectInput("selection", "Choose a book:", 
                choices = books),
    actionButton("update", "Change"),
    hr(),
    sliderInput("freq", 
                "Minimum Frequency:", 
                min = 1,  max = 50, value = 15),
    sliderInput("max", 
                "Maximum Number of Words:", 
                min = 1,  max = 300,  value = 100)
  ),
  
  # Show Word Cloud
  mainPanel(
    plotOutput("plot")
  )
))