Java生成词云！你喜欢得书都在图里！

<dependency>
            <groupId>com.kennycason</groupId>
            <artifactId>kumo-core</artifactId>
            <version>1.17</version>
        </dependency>

        <dependency>
            <groupId>com.kennycason</groupId>
            <artifactId>kumo-tokenizers</artifactId>
            <version>1.17</version>
        </dependency>

final FrequencyAnalyzer frequencyAnalyzer = new FrequencyAnalyzer();
        frequencyAnalyzer.setWordFrequenciesToReturn(600);
        frequencyAnalyzer.setMinWordLength(2);
        frequencyAnalyzer.setWordTokenizer(new ChineseWordTokenizer());

        // 可以直接从文件中读取
        //final List<WordFrequency> wordFrequencies = frequencyAnalyzer.load(getInputStream("text/chinese_language.txt"));

        final List<WordFrequency> wordFrequencies = new ArrayList<>();

        // 用后端技术书籍来随机生成词云
        String [] books = {"Spring实战","Spring源码深度解析","SpringBoot实战",
                "SpringBoot2精髓","一步一步学SpringBoot2","Spring微服务实战",
                "Head First Java","Java并发编程实战","深入理解Java 虚拟机",
                "Head First Design","effective java","J2EE development without EJB",
                "TCP/IP卷一"," 计算机网络：自顶向下","图解HTTP和图解TCP/IP",
                "计算机网络","深入理解计算机系统","现代操作系统",
                "Linux内核设计与实现","Unix网络编程","数据结构与算法",
                "算法导论","数据结构与算法（Java版）","算法图解，啊哈算法",
                "剑指offer","LeetCode"," Java编程思想",
                "Java核心技术卷一","深入理解JVM虚拟机","Java并发编程实战",
                " Java并发编程艺术","Java性能调优指南","Netty权威指南",
                "深入JavaWeb技术内幕","How Tomcat Works","Tomcat架构解析",
                "Spring实战","Spring源码深度解析","Spring MVC学习指南",
                "Maven实战","sql必知必会","深入浅出MySQL",
                "Spring cloud微服务实战","SpringBoot与Docker微服务实战","深入理解SpringBoot与微服务架构"
        };
        //加入分词并随机生成权重，每次生成得图片都不一样
        for (String book : books){
            wordFrequencies.add(new WordFrequency(book,new Random().nextInt(books.length)));
        }

        //此处不设置会出现中文乱码
        java.awt.Font font = new java.awt.Font("STSong-Light", 2, 18);

        final Dimension dimension = new Dimension(900, 900);
        final WordCloud wordCloud = new WordCloud(dimension, CollisionMode.PIXEL_PERFECT);
        wordCloud.setPadding(2);
        wordCloud.setBackground(new CircleBackground(255));
        wordCloud.setFontScalar(new SqrtFontScalar(12, 42));
        //设置词云显示的三种颜色，越靠前设置表示词频越高的词语的颜色
        wordCloud.setColorPalette(new LinearGradientColorPalette(Color.RED, Color.BLUE, Color.GREEN, 30, 30));

        wordCloud.setKumoFont(new KumoFont(font));
        wordCloud.setBackgroundColor(new Color(255, 255, 255));
        //因为我这边是生成一个圆形,这边设置圆的半径
        wordCloud.setBackground(new CircleBackground(255));

        wordCloud.build(wordFrequencies);
        wordCloud.writeToFile("d://3.png");

// 可以直接从文件中读取
//final List<WordFrequency> wordFrequencies = frequencyAnalyzer.load(getInputStream("text/chinese_language.txt"));

frequencyAnalyzer.setWordTokenizer(new ChineseWordTokenizer());
 //此处不设置会出现中文乱码
java.awt.Font font = new java.awt.Font("STSong-Light", 2, 18);