Operates On: Lexical Items with TOKEN within TEXT_BLOCK_SPLIT or SENTENCE_SPLIT vertex flags.
Saga_is_recognizer
Library: saga-classification-trainer-stage
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Models can be trained directly with OpenNLP tools or from the Saga UI. See Classifier Recognizer in the User Manual for more information on how to create a model using Saga. |
Note |
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The stage will use boundaryFlags specified to split the input text in sentences. All text between boundaries is considered a sentence and will be evaluated separately by the classifier. |
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"tagWith": "NAME-OF-OUTPUT-TAG", "prob": "0.95", "positiveRatio":0.5, "model": ".\model-file.bin", "normalize": [] |
Example Output
In this case, a sentence breaker stage was configured before the classifier stage. The tagWith value is animal-incident for this example.
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V-------------------------------------[BIRD STRIKE DURING DESCENT. DAMAGE LIMITED TO 18 INCH DENT BOTTOM OUTBOARD SIDE OF ENGINE COWLING.]--------------------------------------V ^-----------[BIRD STRIKE DURING DESCENT]-----------V------------------------[DAMAGE LIMITED TO 18 INCH DENT BOTTOM OUTBOARD SIDE OF ENGINE COWLING]------------------------V-[]-^ ^---[BIRD]---V---[STRIKE]---V-[DURING]-V-[DESCENT]-^--[DAMAGE]--V-[LIMITED]-V-[TO]-V-[18]-V-[INCH]-V-[DENT]-V-[BOTTOM]-V-[OUTBOARD]-V-[SIDE]-V-[OF]-V-[ENGINE]-V-[COWLING]-^ ^---[bird]---^---[strike]---^-[during]-^-[descent]-^--[damage]--^-[limited]-^-[to]-^ ^-[inch]-^-[dent]-^-[bottom]-^-[outboard]-^-[side]-^-[of]-^-[engine]-^-[cowling]-^ ^--[{bird}]--^-[{physical}]-^--[dure]--^ ^-[{damage}]-^--[limit]--^ ^-[{animal}]-^--[{damage}]--^ ^---------------[{animal-incident}]----------------^ |
Info |
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No vertices are created in this stage. |