These stages are external libraries to the Saga Core library, and need to be added as dependencies to your application.
Text Block Breakers
Breakers read text blocks and break them into individual text blocks.
- SentenceBreaker - Breaks a text block into sentences, using OpenNLP Sentence Detector
Spell Checkers
Spell checkers process specific tokens to identify misspellings and add alternatives to the interpretation graph.
Language Detectors
Language detectors use OpenNLP (https://opennlp.apache.org/) and its language detector model to identify the language of a text block.
- LanguageDetector - The language detector stage uses OpenNLP (https://opennlp.apache.org/) and its language detector model to identify the language of a text block.
Machine Learning
These stages load an 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.
Overview
Content Tools