Spark计算《西虹市首富》短评词云

本文主要记录利用爬虫爬取豆瓣对电影《西虹市首富》的短评，使用word分词器分词，并使用Spark计算出磁盘取Top20，使用echats展示。

效果图如下：

相关文章：
1.Spark之PI本地
2.Spark之WordCount集群
3.SparkStreaming之读取Kafka数据
4.SparkStreaming之使用redis保存Kafka的Offset
5.SparkStreaming之优雅停止
6.SparkStreaming之写数据到Kafka
7.Spark计算《西虹市首富》短评词云

1.爬取数据

参考：使用爬虫爬取豆瓣电影影评数据Java版

其中略微修改：
PageParser.java

public Data parse(String url, String html) {

  Document doc = Jsoup.parse(html, url);

  // 获取链接列表
  List links =
    doc.select("#paginator > a.next")
    .stream()
    .map(a -> a.attr("abs:href"))
    .collect(Collectors.toList());

  // 获取数据列表
  List> results = doc.select("#comments > div.comment-item")
    .stream()
    .map(div -> {
      Map data = new HashMap<>();

      String author = div.selectFirst("h3 > span.comment-info > a").text();
      String date = div.selectFirst("h3 > span.comment-info > span.comment-time").text();
      Element rating = div.selectFirst("h3 > span.comment-info > span.rating");
      String star = "0";
      if (rating != null) {
        // allstar40 rating
        star = rating.attr("class");
        star = star.substring(7, 9);
      }
      String vote = div.selectFirst("h3 > span.comment-vote > span.votes").text();
      String comment = div.selectFirst("div.comment > p").text();

      data.put("author", author);
      data.put("date", date);
      if (star != null)
        data.put("star", star);
      data.put("vote", vote);
      data.put("comment", comment);

      return data;
    })
    .collect(Collectors.toList());

  return new Data(links, results);
}

DataProcessor.java

public void process(List results) {
  if (results == null || results.isEmpty()) {
    return;
  }

  try {

    // 数据
    BufferedWriter bw = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File("C:\\xhs_json.txt"), true)));
    Gson gson = new Gson();
    for (T result : results) {
      bw.write(gson.toJson(result));
      bw.write("\r\n");
    }
    bw.flush();
    bw.close();

    // 分词结果
    PrintWriter pw = new PrintWriter(new OutputStreamWriter(new FileOutputStream(new File("C:\\xhs_word.txt"), true)));
    for (T result : results) {
      if (result instanceof Map) {
        List words = WordSegmenter.seg(((Map) result).get("comment").toString());
        pw.println(words.stream().map(word -> word.getText()).collect(Collectors.joining(" ")));
      }
    }
    pw.flush();
    pw.close();
  } catch (Exception e) {
    e.printStackTrace();
  }

}

大概540条数据，保存两份文件，xhs_json.txt是完整的短评json文件，xhs_word.txt是使用word对短评内容分词的文件

xhs_json.txt

xhs_word.txt

爬虫下载地址
xhs_json.txt下载地址
xhs_word.txt下载地址

2.Spark计算

只需要利用xhs_word.txt文件进行wordcount计算即可，然后打印出echat需要显示的格式即可

object YingPing {
  def main(args: Array[String]): Unit = {
    //创建一个Config
    val conf = new SparkConf()
      .setAppName("YingPing")
      .setMaster("local[1]")

    //核心创建SparkContext对象
    val sc = new SparkContext(conf)

    //WordCount
    sc.textFile("C:\\xhs_word.txt")
      .flatMap(_.split(" "))
      .map((_, 1))
      .reduceByKey(_ + _)
      //.repartition(1)
      .sortBy(_._2, false)
      .take(20)
      .map(x => {
        val map = new java.util.HashMap[String, String]()
        map.put("name", x._1)
        map.put("value", x._2 + "")
        map.put("itemStyle", "createRandomItemStyle()")
        map
      })
      .foreach(item => println(new Gson().toJson(item).replace("\"c", "c").replace(")\"", ")") + ","))
    // 借助http://echarts.baidu.com/echarts2/doc/example/wordCloud.html#infographic可以显示词云

    //停止SparkContext对象
    sc.stop()
  }
}

结果如下：

{"name":"电影","itemStyle":createRandomItemStyle(),"value":"160"},
{"name":"麻花","itemStyle":createRandomItemStyle(),"value":"112"},
{"name":"喜剧","itemStyle":createRandomItemStyle(),"value":"100"},
{"name":"开心","itemStyle":createRandomItemStyle(),"value":"96"},
{"name":"沈腾","itemStyle":createRandomItemStyle(),"value":"92"},
{"name":"笑点","itemStyle":createRandomItemStyle(),"value":"92"},
{"name":"笑","itemStyle":createRandomItemStyle(),"value":"79"},
{"name":"真的","itemStyle":createRandomItemStyle(),"value":"50"},
{"name":"好笑","itemStyle":createRandomItemStyle(),"value":"49"},
{"name":"一部","itemStyle":createRandomItemStyle(),"value":"47"},
{"name":"故事","itemStyle":createRandomItemStyle(),"value":"47"},
{"name":"讽刺","itemStyle":createRandomItemStyle(),"value":"45"},
{"name":"太","itemStyle":createRandomItemStyle(),"value":"44"},
{"name":"尴尬","itemStyle":createRandomItemStyle(),"value":"40"},
{"name":"星","itemStyle":createRandomItemStyle(),"value":"39"},
{"name":"尬","itemStyle":createRandomItemStyle(),"value":"37"},
{"name":"夏洛特","itemStyle":createRandomItemStyle(),"value":"34"},
{"name":"观众","itemStyle":createRandomItemStyle(),"value":"33"},
{"name":"金钱","itemStyle":createRandomItemStyle(),"value":"33"},
{"name":"挺","itemStyle":createRandomItemStyle(),"value":"33"},

将结果复制到echats的在线页面显示即可

image.png