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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 |
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boundaryFlags specified to split the input text in sentences. All text between boundaries |
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is considered a sentence and will be evaluated separately by the classifier. |
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No configuration parameters are needed.
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language | js |
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theme | Eclipse |
title | Example Configuration |
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Parameter | ||||||
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Parameter | ||||
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Code Block | ||
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"tagWith": "NAME-OF-OUTPUT-TAG" |
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, |
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"prob": |
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0.95 |
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"positiveRatio":0.5, "model": ".\model-file.bin" |
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,
"normalize": [] |
Example Output
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In this case, a sentence breaker stage was configured before the classifier stage. The tagWith value is animal-incident for this example.
Code Block | ||||
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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}]----------------^ |
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Info |
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No vertices are created in this stage. |
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