写出用tfidf算法计算两个文本的相似度的Android代码
时间: 2024-05-01 14:21:29 浏览: 12
以下是用TF-IDF算法计算两个文本相似度的Android代码示例:
1. 首先,需要添加以下依赖项到您的build.gradle文件中:
```
dependencies {
implementation 'com.jayway.jsonpath:json-path:2.4.0'
implementation 'org.apache.commons:commons-text:1.6'
implementation 'com.google.code.gson:gson:2.8.6'
implementation 'com.googlecode.concurrentlinkedhashmap:concurrentlinkedhashmap-lru:1.4.2'
implementation 'com.github.almasb:fx-gson:0.0.3'
implementation 'org.simmetrics:simmetrics-core:4.1.1'
}
```
2. 然后,在您的Activity或Fragment中创建以下函数:
```
private double calculateTFIDFSimilarity(String text1, String text2) {
// Tokenize the text
List<String> tokens1 = tokenize(text1);
List<String> tokens2 = tokenize(text2);
// Calculate the TF-IDF vectors for the two texts
Map<String, Double> tfidf1 = calculateTFIDF(tokens1);
Map<String, Double> tfidf2 = calculateTFIDF(tokens2);
// Calculate the cosine similarity between the two vectors
CosineSimilarity cosineSimilarity = new CosineSimilarity();
return cosineSimilarity.similarity(tfidf1, tfidf2);
}
private List<String> tokenize(String text) {
// Use Apache Commons Text to tokenize the text into words
WordTokenizer tokenizer = new WordTokenizer();
return Arrays.asList(tokenizer.tokenize(text));
}
private Map<String, Double> calculateTFIDF(List<String> tokens) {
// Use SimMetrics to calculate the TF-IDF scores for each word in the list of tokens
TFIDF tfidf = new TFIDF();
return tfidf.getWeightedTerms(tokens);
}
```
3. 最后,您可以在您的应用程序中使用此函数来计算两个文本之间的相似度:
```
String text1 = "This is the first text.";
String text2 = "This is the second text.";
double similarity = calculateTFIDFSimilarity(text1, text2);
Log.d(TAG, "Similarity: " + similarity);
```
注意:此代码示例中使用了第三方库Apache Commons Text、Google Gson、ConcurrentLinkedHashMap、FX Gson和SimMetrics。您需要确保在您的应用程序中正确添加这些依赖项。