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These stages are external libraries to the Saga Core library, and needs to be added as dependencies of your application.

Text Block Breakers

Breakers read text blocks and breaks them into individual text blocks.

  • SentenceBreaker - Breaks a text block into sentences, using OpenNLP Sentence Detector

Spell Checkers

Spell checkers process specific tokens identifying misspells and adding alternatives to the interpretation graph

  • SpellingAlternatives

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Language Detectors

Spell checkers process specific tokens identifying misspells and adding alternatives to the interpretation graph


Machine Learning

Stages that load a ML model and evaluate input text through Saga.

  • Name Entity Recognizer - The name predictor stage uses OpenNLP's NameFinder to load Name Entity Recognizer models and tag tokens that match entities based on the model given a certain threshold of accuracy.
  • Sentence Classifier - The sentence classifier stage uses OpenNLP's DocumentCategorizer to load classification models and tag sentences that match the binary classification model (is or isn't in a certain category) given a specified threshold of accuracy.


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