我有一份自定义词典,现要传入一个新词,查出词典中与这个新词最相似的词语
时间: 2024-03-16 21:45:36 浏览: 15
要实现这个功能,可以使用余弦相似度算法和自定义词典。具体步骤如下:
1. 将自定义词典中的所有词语转换成向量。
2. 将新词转换成向量。
3. 计算新词与词典中所有词语的余弦相似度,并找出相似度最高的词语即为最相似的词语。
下面是JAVA实现的代码:
```java
import java.util.HashMap;
import java.util.Map;
public class CustomDictionary {
private Map<String, Map<String, Integer>> dictionary = new HashMap<>();
public void addWord(String word) {
String[] terms = word.split("\\s+");
for (String term : terms) {
if (term.length() > 0) {
Map<String, Integer> vector = toVector(term);
dictionary.put(term, vector);
}
}
}
public String findMostSimilarWord(String word) {
Map<String, Integer> vector1 = toVector(word);
double maxSimilarity = -1.0;
String mostSimilarWord = null;
for (String term : dictionary.keySet()) {
Map<String, Integer> vector2 = dictionary.get(term);
double similarity = cosineSimilarity(vector1, vector2);
if (similarity > maxSimilarity) {
maxSimilarity = similarity;
mostSimilarWord = term;
}
}
return mostSimilarWord;
}
private Map<String, Integer> toVector(String text) {
Map<String, Integer> vector = new HashMap<>();
String[] terms = text.split("\\s+");
for (String term : terms) {
if (vector.containsKey(term)) {
vector.put(term, vector.get(term) + 1);
} else {
vector.put(term, 1);
}
}
return vector;
}
private double cosineSimilarity(Map<String, Integer> vector1, Map<String, Integer> vector2) {
double dotProduct = 0.0;
double magnitude1 = 0.0;
double magnitude2 = 0.0;
for (String term : vector1.keySet()) {
if (vector2.containsKey(term)) {
dotProduct += vector1.get(term) * vector2.get(term);
}
magnitude1 += Math.pow(vector1.get(term), 2);
}
for (String term : vector2.keySet()) {
magnitude2 += Math.pow(vector2.get(term), 2);
}
double magnitude = Math.sqrt(magnitude1) * Math.sqrt(magnitude2);
if (magnitude == 0) {
return 0.0;
}
return dotProduct / magnitude;
}
public static void main(String[] args) {
CustomDictionary dictionary = new CustomDictionary();
dictionary.addWord("apple");
dictionary.addWord("banana");
dictionary.addWord("orange");
String newWord = "pear";
String mostSimilarWord = dictionary.findMostSimilarWord(newWord);
System.out.println("与" + newWord + "最相似的词语是:" + mostSimilarWord);
}
}
```
在上述代码中,addWord()方法将自定义词典中的词语转换成向量,并将其存储在HashMap中。findMostSimilarWord()方法将新词转换成向量,并计算其与自定义词典中所有词语的余弦相似度,找出相似度最高的词语。在main()方法中,我们添加了三个词语到自定义词典中,并传入一个新词,程序会输出与新词最相似的词语。