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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Work logged] (TEXT-155) Add a generic SetSimilarity measure
Date Thu, 07 Mar 2019 23:13:00 GMT

     [ https://issues.apache.org/jira/browse/TEXT-155?focusedWorklogId=209825&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-209825
]

ASF GitHub Bot logged work on TEXT-155:
---------------------------------------

                Author: ASF GitHub Bot
            Created on: 07/Mar/19 23:12
            Start Date: 07/Mar/19 23:12
    Worklog Time Spent: 10m 
      Work Description: kinow commented on issue #109: TEXT-155: Add a generic IntersectionSimilarity
measure
URL: https://github.com/apache/commons-text/pull/109#issuecomment-470739020
 
 
   >This class could be used internally by the JaccardSimilarity. It could also be used
by a new Sorenson-Dice Similarity (although I prefer F1Score). 
   
   +1
   
   >Note: that new implementation for the Sorenson-Dice Similarity uses bigrams and not
single characters.
   
   Oh, good point. In that case I think I now understand your remark to maybe rename that
implementation in the pull request to something like BigramSorensonDice. Good food for thought,
no idea what's the best right now, but will think about it for a little while.
   
   >But I do not see why it should be package private. 
   
   Good arguments @aherbert . Then maybe leave it public, and move the F1/jaccard to the related
classes. 
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 209825)
    Time Spent: 1h  (was: 50m)

> 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
>            Priority: Minor
>          Time Spent: 1h
>  Remaining Estimate: 0h
>
> 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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