WordCloud

gistfile1.scala

import wordcloud.PolarWordCloud
import wordcloud.CollisionMode
import wordcloud.PolarBlendMode
import wordcloud.bg.CircleBackground
import wordcloud.bg.PixelBoundryBackground
import wordcloud.bg.RectangleBackground
import wordcloud.font.CloudFont
import wordcloud.font.FontWeight
import wordcloud.font.scale.LinearFontScalar
import wordcloud.font.scale.SqrtFontScalar
import wordcloud.nlp.FrequencyAnalizer
import wordcloud.nlp.tokenizer.ChineseWordTokenizer
import wordcloud.palette.ColorPalette

import org.apache.commons.codec.binary.Base64

import java.net.URL
import java.io.ByteArrayOutputStream
import javax.imageio.ImageIO

val frequencyAnalizer = new FrequencyAnalizer()
frequencyAnalizer.setWordFrequencesToReturn(750)
frequencyAnalizer.setMinWordLength(4)

import collection.JavaConverters._
val stopwords = Source.fromURL("https://raw.githubusercontent.com/kennycason/kumo/master/src/test/resources/text/stop_words.txt").getLines().toList.asJava
frequencyAnalizer.setStopWords(stopwords)

val wordFrequencies  = frequencyAnalizer.load(new URL("https://raw.githubusercontent.com/kennycason/kumo/master/src/test/resources/text/new_york_positive.txt"))
val wordFrequencies2 = frequencyAnalizer.load(new URL("https://raw.githubusercontent.com/kennycason/kumo/master/src/test/resources/text/new_york_negative.txt"))

val wordCloud = new PolarWordCloud(600, 600, CollisionMode.PIXEL_PERFECT, PolarBlendMode.BLUR)
wordCloud.setPadding(2)
wordCloud.setBackground(new CircleBackground(300))
wordCloud.setFontScalar(new SqrtFontScalar(10, 40))
wordCloud.build(wordFrequencies, wordFrequencies2)
val baos = new ByteArrayOutputStream()
ImageIO.write(wordCloud.getBufferedImage(), "png", baos)
val image = new String(Base64.encodeBase64(baos.toByteArray()))