java 词频统计代码

package hello;

import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.util.HashMap;
import java.util.Iterator;
import java.util.StringTokenizer;

public class WordCount {

	public void sort(int[] arry) {
		int temp;
		for (int i = 0; i < arry.length; i++) {
			for (int j = i; j < arry.length; j++) {
				if (arry[i] > arry[j]) {
					temp = arry[i];
					arry[i] = arry[j];
					arry[j] = temp;
				}
			}

		}
		for (int k = 0; k < arry.length; k++) {
			System.out.print(arry[k] + " ");
		}
	}

	public static void main(String[] args) { // 用HashMap存放<单词:词频>这样一个映射关系
		HashMap<String, Integer> hashMap = new HashMap<String, Integer>();
		// 用正则表达式来过滤字符串中的所有标点符号
		String regex = "[【】、.。,，。\"!--;:?\'\\]]";
		try {
			// 读取要处理的文件
			BufferedReader br = new BufferedReader(new FileReader("src/file80.txt"));
			String value;
			while ((value = br.readLine()) != null) {
				value = value.replaceAll(regex, " ");
				// 使用StringTokenizer来分词(StringTokenizer详见JDK文档)
				StringTokenizer tokenizer = new StringTokenizer(value);
				while (tokenizer.hasMoreTokens()) {
					String word = tokenizer.nextToken();
					if (!hashMap.containsKey(word)) {
						hashMap.put(word, new Integer(1));
					} else {
						int k = hashMap.get(word).intValue() + 1;
						hashMap.put(word, new Integer(k));
					}
				}
			}
			// 遍历HashMap,输出结果
			Iterator iterator = hashMap.keySet().iterator();
			while (iterator.hasNext()) {
				String word = (String) iterator.next();
				System.out.println(word + ":\t" + hashMap.get(word));
			}
			} catch (FileNotFoundException e) {
			e.printStackTrace();
		} catch (IOException e) {
			e.printStackTrace();
		}
	}
}