SVM_CLASSIFIER

Use the SVM_CLASSIFIER type for creating preferences for the rule generating procedure, CTX_CLS.TRAIN, and for CTXRULE creation. This classifier type represents the Support Vector Machine method of classification and generates rules in binary format. Use this classifier type when you need high classification accuracy.

This type has the following attributes:

Table 42 SVM_CLASSIFIER Attributes

Attribute Name	Data Type	Default	Min Value	Max Value	Description
MAX_DOCTERMS	I	50	10	8192	Specify the maximum number of terms representing one document.
MAX_FEATURES	I	3,000	1	100,000	Specify the maximum number of distinct features.
THEME_ON	B	FALSE	NULL	NULL	Specify TRUE to use themes as features.
TOKEN_ON	B	TRUE	NULL	NULL	Specify TRUE to use regular tokens as features.
STEM_ON	B	FALSE	NULL	NULL	Specify TRUE to use stemmed tokens as features. This only works when turning INDEX_STEM on for the lexer.
MEMORY_SIZE	I	500	10	4000	Specify approximate memory size in MB.
SECTION_WEIGHT	1	2	0	100	Specify the occurrence multiplier for adding a term in a field section as a normal term. For example, by default, the term cat in “cat” is a field section term and is treated as a normal term with occurrence equal to 2, but you can specify that it be treated as a normal term with a weight up to 100. SECTION_WEIGHT is only meaningful when the index policy specifies a field section.