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IRISLIB database
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IRISLIB database
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Public Attributes | |
| CategoryGlobalTermWeights | |
| The corpus-wide relevancy factor to take into account when calculating term weights. More... | |
| CategoryLocalTermMetric | |
| The metric to use for calculating the local term weights. More... | |
| CategoryLocalTermWeights | |
| The per-category term weight factor. More... | |
| CategoryNormalization | |
| Whether and how to normalize the category vectors. More... | |
| CustomTermWeights | |
| More... | |
 Public Attributes inherited from Base | |
| Builder | |
| More... | |
Private Member Functions | |
| _.Library.Status | OnRemoveTerm (_.Library.Integer pIndex) |
| Callback invoked whenever an entire term at an index has been removed. | |
| _.Library.Status | SetCustomWeight (_.Library.Integer pIndex, _.Library.String pCategory, _.Library.Double pCustomWeight) |
| Sets a custom weight factor for the term at pIndex in pCategory. | |
Additional Inherited Members | |
| Public Member Functions inherited from RegisteredObject | |
| _.Library.Status | OnAddToSaveSet (_.Library.Integer depth, _.Library.Integer insert, _.Library.Integer callcount) |
| This callback method is invoked when the current object is added to the SaveSet,. More... | |
| _.Library.Status | OnClose () |
| This callback method is invoked by the <METHOD>Close</METHOD> method to. More... | |
| _.Library.Status | OnConstructClone (_.Library.RegisteredObject object, _.Library.Boolean deep, _.Library.String cloned) |
| This callback method is invoked by the <METHOD>ConstructClone</METHOD> method to. More... | |
| _.Library.Status | OnNew () |
| This callback method is invoked by the <METHOD>New</METHOD> method to. More... | |
| _.Library.Status | OnValidateObject () |
| This callback method is invoked by the <METHOD>ValidateObject</METHOD> method to. More... | |
| Static Public Attributes inherited from RegisteredObject | |
| CAPTION = None | |
| Optional name used by the Form Wizard for a class when generating forms. More... | |
| JAVATYPE = None | |
| The Java type to be used when exported. | |
| PROPERTYVALIDATION = None | |
| This parameter controls the default validation behavior for the object. More... | |
This Builder Method implementation generates category term weights as a vector per category that exists in the same vector space as the document term vector. The similarity between the document vector and each of the category vectors can then be calculated using euclidean distance or cosine similarity (angle). Alternatively, these weights can be used for a linear regression formula, calculating a score rather than a similarity/distance.
A combination of global term weights (across the corpus), local term weights (within each category) and normalization (per category) is used to calculate these category vectors.
| CategoryGlobalTermWeights |
The corpus-wide relevancy factor to take into account when calculating term weights.
| CategoryLocalTermMetric |
The metric to use for calculating the local term weights.
| CategoryLocalTermWeights |
The per-category term weight factor.
| CategoryNormalization |
Whether and how to normalize the category vectors.
| CustomTermWeights |
1.9.1