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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.text.similarity;
18  
19  import java.util.Map;
20  
21  /**
22   * Measures the cosine distance between two character sequences.
23   *
24   * <p>It utilizes the {@link CosineSimilarity} to compute the distance. Character sequences
25   * are converted into vectors through a simple tokenizer that works with a regular expression
26   * to split words in a sentence.</p>
27   *
28   * <p>
29   * For further explanation about Cosine Similarity and Cosine Distance, refer to
30   * https://en.wikipedia.org/wiki/Cosine_similarity.
31   * </p>
32   *
33   * @since 1.0
34   * @see CosineSimilarity
35   */
36  public class CosineDistance implements EditDistance<Double> {
37  
38      @Override
39      public Double apply(final CharSequence left, final CharSequence right) {
40          final CharSequence[] leftTokens = RegexTokenizer.INSTANCE.apply(left);
41          final CharSequence[] rightTokens = RegexTokenizer.INSTANCE.apply(right);
42  
43          final Map<CharSequence, Integer> leftVector = Counter.of(leftTokens);
44          final Map<CharSequence, Integer> rightVector = Counter.of(rightTokens);
45          final double similarity = CosineSimilarity.INSTANCE.cosineSimilarity(leftVector, rightVector);
46          return 1.0 - similarity;
47      }
48  
49  }