Alex D Herbert created TEXT-155:
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Summary: Add a generic SetSimilarity measure
Key: TEXT-155
URL: https://issues.apache.org/jira/browse/TEXT-155
Project: Commons Text
Issue Type: New Feature
Affects Versions: 1.6
Reporter: Alex D Herbert
The {{SimilarityScore<T>}} interface can be used to compute a generic result. I
propose to add a class that can compute the intersection between two sets
formed from the characters. The sets must be formed from the {{CharSequence}}
input to the {{apply}} method using a {{Function<CharSequence, Set<T>>}} to
convert the {{CharSequence}}. This function can be passed to the
{{SimilarityScore<T>}} during construction.
The result can then be computed to have the size of each set and the
intersection.
I have created an implementation that can compute the equivalent of the
{{JaccardSimilary}} class by creating {{Set<Character>}} and also the F1-score
using bigrams (pairs of characters) by creating {{Set<String>}}. This relates
to [Text-126|https://issues.apache.org/jira/projects/TEXT/issues/TEXT-126]
which suggested an algorithm for the Sorensen-Dice similarity, also known as
the F1-score.
Here is an example:
{code:java}
// Match the functionality of the JaccardSimilarity class
Function<CharSequence, Set<Character>> converter = (cs) -> {
final Set<Character> set = new HashSet<>();
for (int i = 0; i < cs.length(); i++) {
set.add(cs.charAt(i));
}
return set;
};
IntersectionSimilarity<Character> similarity = new
IntersectionSimilarity<>(converter);
IntersectionResult result = similarity.apply("something", "something else");
{code}
The result has the size of set A, set B and the intersection between them.
This class was inspired by my look through the various similarity
implementations. All of them except the {{CosineSimilarity}} perform single
character matching between the input {{CharSequence}}s. The
{{CosineSimilarity}} tokenises using whitespace to create words.
This more generic type of implementation will allow a user to determine how to
divide the {{CharSequence}} but to create the sets that are compared, e.g.
single characters, words, bigrams, etc.
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