我正在写一个非常基本的java程序来计算句子中每个单词的频率到目前为止我设法做了这么多
import java.io.*;
class Linked {
public static void main(String args[]) throws IOException {
BufferedReader br = new BufferedReader(
new InputStreamReader(System.in));
System.out.println("Enter the sentence");
String st = br.readLine();
st = st + " ";
int a = lengthx(st);
String arr[] = new String[a];
int p = 0;
int c = 0;
for (int j = 0; j < st.length(); j++) {
if (st.charAt(j) == ' ') {
arr[p++] = st.substring(c,j);
c = j + 1;
}
}
}
static int lengthx(String a) {
int p = 0;
for (int j = 0; j < a.length(); j++) {
if (a.charAt(j) == ' ') {
p++;
}
}
return p;
}
}
我已经提取了每个字符串并将其存储在一个数组中,现在的问题实际上是如何计算每个'字'重复的实例的数量以及如何显示以便重复的单词不会多次显示,你能帮助吗?我在这一个?
答案 0 :(得分:22)
使用带有单词作为键的地图并计为值,就像这样
Map<String, Integer> map = new HashMap<>();
for (String w : words) {
Integer n = map.get(w);
n = (n == null) ? 1 : ++n;
map.put(w, n);
}
如果你不允许使用java.util,那么你可以使用一些排序算法对arr进行排序并执行此操作
String[] words = new String[arr.length];
int[] counts = new int[arr.length];
words[0] = words[0];
counts[0] = 1;
for (int i = 1, j = 0; i < arr.length; i++) {
if (words[j].equals(arr[i])) {
counts[j]++;
} else {
j++;
words[j] = arr[i];
counts[j] = 1;
}
}
自Java 8以来ConcurrentHashMap的一个有趣的解决方案
ConcurrentMap<String, Integer> m = new ConcurrentHashMap<>();
m.compute("x", (k, v) -> v == null ? 1 : v + 1);
答案 1 :(得分:11)
在Java 8中,您可以用两行简单的方式编写它!此外,您还可以利用并行计算。
这是最美妙的方式:
Stream<String> stream = Stream.of(text.toLowerCase().split("\\W+")).parallel();
Map<String, Long> wordFreq = stream
.collect(Collectors.groupingBy(String::toString,Collectors.counting()));
答案 2 :(得分:3)
试试这个
public class Main
{
public static void main(String[] args)
{
String text = "the quick brown fox jumps fox fox over the lazy dog brown";
String[] keys = text.split(" ");
String[] uniqueKeys;
int count = 0;
System.out.println(text);
uniqueKeys = getUniqueKeys(keys);
for(String key: uniqueKeys)
{
if(null == key)
{
break;
}
for(String s : keys)
{
if(key.equals(s))
{
count++;
}
}
System.out.println("Count of ["+key+"] is : "+count);
count=0;
}
}
private static String[] getUniqueKeys(String[] keys)
{
String[] uniqueKeys = new String[keys.length];
uniqueKeys[0] = keys[0];
int uniqueKeyIndex = 1;
boolean keyAlreadyExists = false;
for(int i=1; i<keys.length ; i++)
{
for(int j=0; j<=uniqueKeyIndex; j++)
{
if(keys[i].equals(uniqueKeys[j]))
{
keyAlreadyExists = true;
}
}
if(!keyAlreadyExists)
{
uniqueKeys[uniqueKeyIndex] = keys[i];
uniqueKeyIndex++;
}
keyAlreadyExists = false;
}
return uniqueKeys;
}
}
输出:
the quick brown fox jumps fox fox over the lazy dog brown
Count of [the] is : 2
Count of [quick] is : 1
Count of [brown] is : 2
Count of [fox] is : 3
Count of [jumps] is : 1
Count of [over] is : 1
Count of [lazy] is : 1
Count of [dog] is : 1
答案 3 :(得分:3)
import java.util.*;
public class WordCounter {
public static void main(String[] args) {
String s = "this is a this is this a this yes this is a this what it may be i do not care about this";
String a[] = s.split(" ");
Map<String, Integer> words = new HashMap<>();
for (String str : a) {
if (words.containsKey(str)) {
words.put(str, 1 + words.get(str));
} else {
words.put(str, 1);
}
}
System.out.println(words);
}
}
输出: {a = 3,be = 1,may = 1,yes = 1,this = 7,about = 1,i = 1,is = 3,it = 1,do = 1,not = 1,what = 1,care = 1}
答案 4 :(得分:2)
在Java 10中,您可以使用以下内容:
import java.util.Arrays;
import java.util.stream.Collectors;
public class StringFrequencyMap {
public static void main(String... args){
String[] wordArray = {"One", "One", "Two","Three", "Two", "two"};
var freq = Arrays.stream(wordArray)
.collect(Collectors.groupingBy(x -> x, Collectors.counting()));
System.out.println(freq);
}
}
输出:
{One=2, two=1, Two=2, Three=1}
答案 5 :(得分:1)
你可以试试这个
public static void frequency(String s) {
String trimmed = s.trim().replaceAll(" +", " ");
String[] a = trimmed.split(" ");
ArrayList<Integer> p = new ArrayList<>();
for (int i = 0; i < a.length; i++) {
if (p.contains(i)) {
continue;
}
int d = 1;
for (int j = i+1; j < a.length; j++) {
if (a[i].equals(a[j])) {
d += 1;
p.add(j);
}
}
System.out.println("Count of "+a[i]+" is:"+d);
}
}
答案 6 :(得分:1)
package naresh.java;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Set;
public class StringWordDuplicates {
static void duplicate(String inputString){
HashMap<String, Integer> wordCount = new HashMap<String,Integer>();
String[] words = inputString.split(" ");
for(String word : words){
if(wordCount.containsKey(word)){
wordCount.put(word, wordCount.get(word)+1);
}
else{
wordCount.put(word, 1);
}
}
//Extracting of all keys of word count
Set<String> wordsInString = wordCount.keySet();
for(String word : wordsInString){
if(wordCount.get(word)>1){
System.out.println(word+":"+wordCount.get(word));
}
}
}
public static void main(String args[]){
duplicate("I am Java Programmer and IT Server Programmer with Java as Best Java lover");
}
}
答案 7 :(得分:0)
为此问题创建了一个简单易懂的解决方案,涵盖了所有测试用例-
import java.util.HashMap;
import java.util.Map;
/*
* Problem Statement - Count Frequency of each word in a given string, ignoring special characters and space
* Input 1 - "To be or Not to be"
* Output 1 - to(2 times), be(2 times), or(1 time), not(1 time)
*
* Input 2 -"Star 123 ### 123 star"
* Output - Star(2 times), 123(2 times)
*/
public class FrequencyofWords {
public static void main(String[] args) {
String s1="To be or not **** to be! is all i ask for";
fnFrequencyofWords(s1);
}
//-------Supporting Function-----------------
static void fnFrequencyofWords(String s1) {
//------- Convert String to proper format----
s1=s1.replaceAll("[^A-Za-z0-9\\s]","");
s1=s1.replaceAll(" +"," ");
s1=s1.toLowerCase();
//-------Create String to an array with words------
String[] s2=s1.split(" ");
System.out.println(s1);
//-------- Create a HashMap to store each word and its count--
Map <String , Integer> map=new HashMap<String, Integer>();
for(int i=0;i<s2.length;i++) {
if(map.containsKey(s2[i])) //---- Verify if Word Already Exits---
{
map.put(s2[i], 1+ map.get(s2[i])); //-- Increment value by 1 if word already exits--
}
else {
map.put(s2[i], 1); // --- Add Word to map and set value as 1 if it does not exist in map--
}
}
System.out.println(map); //--- Print the HashMap with Key, Value Pair-------
}
}
答案 8 :(得分:0)
请尝试这些可能对您有帮助
public static void main(String[] args) {
String str1="I am indian , I am proud to be indian proud.";
Map<String,Integer> map=findFrquenciesInString(str1);
System.out.println(map);
}
private static Map<String,Integer> findFrquenciesInString(String str1) {
String[] strArr=str1.split(" ");
Map<String,Integer> map=new HashMap<>();
for(int i=0;i<strArr.length;i++) {
int count=1;
for(int j=i+1;j<strArr.length;j++) {
if(strArr[i].equals(strArr[j]) && strArr[i]!="-1") {
strArr[j]="-1";
count++;
}
}
if(count>1 && strArr[i]!="-1") {
map.put(strArr[i], count);
strArr[i]="-1";
}
}
return map;
}
答案 9 :(得分:0)
String s[]=st.split(" ");
String sf[]=new String[s.length];
int count[]=new int[s.length];
sf[0]=s[0];
int j=1;
count[0]=1;
for(int i=1;i<s.length;i++)
{
int t=j-1;
while(t>=0)
{
if(s[i].equals(sf[t]))
{
count[t]++;
break;
}
t--;
}
if(t<0)
{
sf[j]=s[i];
count[j]++;
j++;
}
}
答案 10 :(得分:0)
计数Java 8中列表元素的频率
List<Integer> list = new ArrayList<Integer>();
Collections.addAll(list,3,6,3,8,4,9,3,6,9,4,8,3,7,2);
Map<Integer, Long> frequencyMap = list.stream().collect(Collectors.groupingBy(Function.identity(),Collectors.counting()));
System.out.println(frequencyMap);
注意: 对于字符串频率计数,请分割字符串并将其转换为列表,然后将流用于计数频率=>(Map frequencyMap)*
答案 11 :(得分:0)
只需使用Java 8流收集器groupby函数:
import java.util.function.Function;
import java.util.stream.Collectors;
static String[] COUNTRY_NAMES
= { "China", "Australia", "India", "USA", "USSR", "UK", "China",
"France", "Poland", "Austria", "India", "USA", "Egypt", "China" };
Map<String, Long> result = Stream.of(COUNTRY_NAMES).collect(
Collectors.groupingBy(Function.identity(), Collectors.counting()));
答案 12 :(得分:0)
import java.io.*;
class Linked {
public static void main(String args[]) throws IOException {
BufferedReader br = new BufferedReader(
new InputStreamReader(System.in));
System.out.println("Enter the sentence");
String st = br.readLine();
st = st + " ";
int a = lengthx(st);
String arr[] = new String[a];
int p = 0;
int c = 0;
for (int j = 0; j < st.length(); j++) {
if (st.charAt(j) == ' ') {
arr[p++] = st.substring(c,j);
c = j + 1;
}
}
}
static int lengthx(String a) {
int p = 0;
for (int j = 0; j < a.length(); j++) {
if (a.charAt(j) == ' ') {
p++;
}
}
return p;
}
}
答案 13 :(得分:0)
以下程序查找频率,对其进行相应排序并打印出来。
以下是按频率分组的输出:
PDO
这是我的计划:
0-10:
The 2
Is 4
11-20:
Have 13
Done 15
答案 14 :(得分:0)
确定文件中单词的频率。
File f = new File(fileName);
Scanner s = new Scanner(f);
Map<String, Integer> counts =
new Map<String, Integer>();
while( s.hasNext() ){
String word = s.next();
if( !counts.containsKey( word ) )
counts.put( word, 1 );
else
counts.put( word,
counts.get(word) + 1 );
}
答案 15 :(得分:0)
public class wordFrequency {
private static Scanner scn;
public static void countwords(String sent) {
sent = sent.toLowerCase().replaceAll("[^a-z ]", "");
ArrayList<String> arr = new ArrayList<String>();
String[] sentarr = sent.split(" ");
Map<String, Integer> a = new HashMap<String, Integer>();
for (String word : sentarr) {
arr.add(word);
}
for (String word : arr) {
int count = Collections.frequency(arr, word);
a.put(word, count);
}
for (String key : a.keySet()) {
System.out.println(key + " = " + a.get(key));
}
}
public static void main(String[] args) {
scn = new Scanner(System.in);
System.out.println("Enter sentence:");
String inp = scn.nextLine();
countwords(inp);
}
}
答案 16 :(得分:0)
class find
{
public static void main(String nm,String w)
{
int l,i;
int c=0;
l=nm.length();String b="";
for(i=0;i<l;i++)
{
char d=nm.charAt(i);
if(d!=' ')
{
b=b+d;
}
if(d==' ')
{
if(b.compareTo(w)==0)
{
c++;
}
b="";
}
}
System.out.println(c);
}
}
答案 17 :(得分:-1)
public class TestSplit {
public static void main(String[] args) {
String input="Find the repeated word which is repeated in this string";
List<String> output= (List) Arrays.asList(input.split(" "));
for(String str: output) {
int occurrences = Collections.frequency(output, str);
System.out.println("Occurence of " + str+ " is "+occurrences);
}
System.out.println(output);
}
}
答案 18 :(得分:-1)
public class WordFrequencyProblem {
public static void main(String args[]){
String s="the quick brown fox jumps fox fox over the lazy dog brown";
String alreadyProcessedWords="";
boolean isCount=false;
String[] splitWord = s.split("\\s|\\.");
for(int i=0;i<splitWord.length;i++){
String word = splitWord[i];
int count = 0;
isCount=false;
if(!alreadyProcessedWords.contains(word)){
for(int j=0;j<splitWord.length;j++){
if(word.equals(splitWord[j])){
count++;
isCount = true;
alreadyProcessedWords=alreadyProcessedWords+word+" ";
}
}
}
if(isCount)
System.out.println(word +"Present "+ count);
}
}
}