统计文章中字母、单词出现的频率

         统计文章中字母出现频率:abcdsedgfcvfjghvhgb

class test1{
    String zimu;//出现的字母
    int cishu;//字母出现的次数
    public test1(String zimu,int cishu) {
        this.zimu = zimu;
        this.cishu = cishu;
    }
    public String getZimu() {
        return zimu;
    }
    public void setZimu(String zimu) {
        this.zimu = zimu;
    }
    public int getCishu() {
        return cishu;
    }
    public void setCishu(int cishu) {
        this.cishu = cishu;
    }
}
public class ZimuCollect {
         public static void collect() throws IOException {
        try {
            //IO操作读取文件内容
            FileReader fr = new FileReader("file.txt");
            BufferedReader br = new BufferedReader(fr);
            HashMap<String, Integer> map = new HashMap<String, Integer>();
            String string =null;
            Integer count = 0;//每个字母的次数
            Integer total = 0;//总共多少个字母
            while ((string=br.readLine())!=null) {
                char[] ch = string.toCharArray();//将获取的string分成字符数组
                total = total + ch.length;
                for (int i = 0; i < ch.length; i++) {
                    ch[i] = Character.toLowerCase(ch[i]);//将所有的字母变成小写的
                    count = map.get(ch[i]+"");
                    if (count == null) {//字母没有出现重复;
                        count = 1;
                    }else {//字母出现重复,count+1;
                        count++;
                    }
                    map.put(ch[i]+"", count);
                }
            }
            List<test1> result = new ArrayList<>();
             
            test1 e = null;
            for (String str : map.keySet()) {
                e = new test1(str,map.get(str));
                result.add(e);
            }
            result.sort((test1 e1,test1 e2)->{
                return e2.getCishu()-e1.getCishu();});
             
            for(entity ee : result) {
                System.out.println("字母"+ee.getZimu()+"在文章中出现"+ee.getCishu()+"次,其频率为"+String.format("%.2f",ee.getCishu()*1.0/total));
            }
             
 
 
             
        } catch (FileNotFoundException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
    }
    public static void main(String[] args) throws IOException {
        try{
            ZimuCollect zimucollect = new ZimuCollect();
            ZimuCollect.collect();
         
         
        } catch (FileNotFoundException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
        }
  }
}

  

        思路: 

      读取文件,将读取到的放在字符数组里,先将其全部变为小写,用map的统计方法统计其出现次数,最后遍历即可。

       统计文章中单词出现的频率:

package Test;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Scanner;
import java.util.TreeMap;
 
class test2{
    String danci;//出现的单词
    int cishu;//单词对应出现的次数
    public test2(String zimu,int cishu) {
        this.danci = zimu;
        this.cishu = cishu;
    }
    public String getDanci() {
        return danci;
    }
     
    public int getCishu() {
        return cishu;
    }
     
}
public class DanciCollect {
    public static boolean judgeNouse(String str) throws IOException {
        boolean flag = true;
        FileReader fr = new FileReader("judge.txt");
        BufferedReader bf = new BufferedReader(fr);
        String str1;            // 按行读取字符串
        while ((str1 = bf.readLine()) != null) {
            if(str.equals(str1)) {
                flag = false;
            }
        }
        bf.close();
        fr.close();
         
         
        return flag;    
             
     
    }  
    public static String toLowerCase(String str) {
        char []StringArr = str.toCharArray();
        for (int i = 0; i < StringArr.length; i++) {
            StringArr[i] = Character.toLowerCase(StringArr[i]);
        }
        StringBuffer sb = new StringBuffer();
        for(int i = 0;i < StringArr.length;i++) {
            sb.append(StringArr[i]);
        }
        String str1 = sb.toString();
        return str1; 
         
    }
    public static void collect1() throws IOException {
        try {
            File file1 = new File("piao.txt");//定义一个file对象,用来初始化FileReader
            FileReader reader1 = new FileReader(file1);//定义一个fileReader对象,用来初始化BufferedReader
            BufferedReader bReader1 = new BufferedReader(reader1);//new一个BufferedReader对象,将文件内容读取到缓存
            StringBuilder sb1 = new StringBuilder();//定义一个字符串缓存,将字符串存放缓存中
            String s1 = "";
            while ((s1 =bReader1.readLine()) != null) {//逐行读取文件内容,不读取换行符和末尾的空格
            sb1.append(s1);//将读取的字符串添加换行符后累加p存放在缓存中
            }
            bReader1.close();
            String text = sb1.toString();
            int i=0;
            String[] array = {".",",","?","!",":","‘","’","“","”","—",";","-"};
            for (int j = 0; j < array.length; j++) {
                text = text.replace(array[j]," ");                      //将text中的array数组中包含的特殊字符用空格代替
            }
            String[] textArray = text.split(" ");                       //根据空格将text分割并存放在textArray中
            Map<String, Integer> map = new TreeMap<String, Integer>();
            Integer count = 0;//每个字母的次数
            Integer total = 0;//总共多少个字母
            while(i < textArray.length) {
                 
                    String str = toLowerCase(textArray[i]);
                    if(!judgeNouse(str)) {
                        total = total + 1;
                        count = map.get(str+"");
                        if (count == null) {//单词没有出现重复;
                            count = 1;
                        }else {//单词出现重复,count+1;
                            count++;
                        }
                        map.put(str+"", count);
                        i++;
                     
                    }
                    else {
                        i++;
                    }
                     
                 
              }
         
            List<test2> result = new ArrayList<>();
             
            test2 e = null;
            for (String str : map.keySet()) {
                e = new test2(str,map.get(str));
                result.add(e);
            }
            result.sort((test2 e1,test2 e2)->{
                return e2.getCishu()-e1.getCishu();});
            System.out.println("文章共计"+total+"个单词");
             
             
            for(int ii = 0 ; ii < result.size();ii++) {
                System.out.println(result.get(ii).getDanci()+"在文章中出现"+result.get(ii).getCishu()+"次,其频率为"+String.format("%.2f",result.get(ii).getCishu()*1.0/total));
            }             
     
     
             
           } catch (FileNotFoundException e) {
                      e.printStackTrace();
        }
    }
    public static void main(String args[]) throws IOException {
        try {
            DanciCollect dancicollect = new DanciCollect();
            DanciCollect.collect1();
        }catch (FileNotFoundException e) {
                     e.printStackTrace();
        }
    }
}

  

      思路:

  读取文件中的内容,用append(s)方法将每次读取的内容追加到缓存,将缓存内容放在字符串里,将特殊符号放到一个数组里,然后将这些特殊符号用空格代替,用split(" ")方法将其分成一个个单词存进字符串数组,然后遍历统计单词频率即可。

   若去掉无用词,在存进map之前用一个函数判断,不是无用词即存进map里,然后用map来统计单词频率,转换成List数组,用sort函数排序,输出频率最高的前n个单词

   这次的代码不是我自己写的,是我借鉴的别人的,因为我自己的那种统计字母与统计单词是完全分开的,不能一个方法来写这两个题,于是从别人那里我学会了使用map方法……

原文地址:https://www.cnblogs.com/zzstdruan1707-4/p/10994508.html