SimilarityLevel
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Inheritance: java.lang.Object, com.groupdocs.search.options.FuzzyAlgorithm
public class SimilarityLevel extends FuzzyAlgorithm
Represents an algorithm of the fuzzy search that specifies the similarity level. The similarity level algorithm calculates the maximum number of mistakes for a word as inversely proportional to the word length.
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The example demonstrates a typical usage of the class.
String indexFolder = "c:\\MyIndex\\";
String documentsFolder = "c:\\MyDocuments\\";
String query = "Einstein";
Index index = new Index(indexFolder); // Creating an index in the specified folder
index.add(documentsFolder); // Indexing documents from the specified folder
SearchOptions options = new SearchOptions();
options.getFuzzySearch().setEnabled(true); // Enabling the fuzzy search
options.getFuzzySearch().setFuzzyAlgorithm(new SimilarityLevel(0.8)); // Creating the fuzzy search algorithm
// This function specifies 0 as the maximum number of mistakes for words from 1 to 4 characters.
// It specifies 1 as the maximum number of mistakes for words from 5 to 9 characters.
// It specifies 2 as the maximum number of mistakes for words from 10 to 14 characters. And so on.
SearchResult result = index.search(query, options); // Search in index
Constructors
Constructor | Description |
---|---|
SimilarityLevel(double value) | Initializes a new instance of the SimilarityLevel class. |
SimilarityLevel(Object data) | Initializes a new instance of the SimilarityLevel class. |
Methods
Method | Description |
---|---|
getSimilarityLevel(int termLength) | Gets the similarity level value for the specified term length. |
getMaxMistakeCount(int termLength) | Gets the maximum allowed number of mistakes for the specified term length. |
SimilarityLevel(double value)
public SimilarityLevel(double value)
Initializes a new instance of the SimilarityLevel class.
Parameters:
Parameter | Type | Description |
---|---|---|
value | double | The similarity level value. |
SimilarityLevel(Object data)
public SimilarityLevel(Object data)
Initializes a new instance of the SimilarityLevel class.
Parameters:
Parameter | Type | Description |
---|---|---|
data | java.lang.Object | The serialized data. |
getSimilarityLevel(int termLength)
public double getSimilarityLevel(int termLength)
Gets the similarity level value for the specified term length.
Parameters:
Parameter | Type | Description |
---|---|---|
termLength | int | The term length. |
Returns: double - The similarity level value.
getMaxMistakeCount(int termLength)
public int getMaxMistakeCount(int termLength)
Gets the maximum allowed number of mistakes for the specified term length.
Parameters:
Parameter | Type | Description |
---|---|---|
termLength | int | The term length. |
Returns: int - The maximum allowed number of mistakes.