Teradata R Package Function Reference - NamedEntityFinderTrainer - Teradata R Package - Look here for syntax, methods and examples for the functions included in the Teradata R Package.

Description

The NamedEntityFinderTrainer (td_namedentity_finder_trainer_mle) function takes training data and outputs a Max Entropy data model. The function is based on OpenNLP, and follows its annotation. For more information on OpenNLP, see http://opennlp.apache.org/documentation/1.5.2-incubating/manual/opennlp.html.

Usage

  td_namedentity_finder_trainer_mle (
      data = NULL,
      text.column = NULL,
      entity.type = NULL,
      model.file = NULL,
      iter.num = 100,
      cutoff = 5,
      data.sequence.column = NULL
  )

Arguments

Value

Function returns an object of class "td_namedentity_finder_trainer_mle" which is a named list containing Teradata tbl object.
Named list member can be referenced directly with the "$" operator using name: output.

Examples

    # Get the current context/connection
    con <- td_get_context()$connection
    
    # Load example data.
    loadExampleData("namedentityfindertrainer_example", "nermem_sports_train")
    
    # Create remote tibble objects.
    nermem_sports_train <- tbl(con, "nermem_sports_train")
    
    # Example: Train a namedentity finder model on entity type: "LOCATION"
    # The trained model is stored in a binary file: "location.sports"
    td_neft_out <- td_namedentity_finder_trainer_mle(data = nermem_sports_train,
                                                 text.column = "content",
                                                 entity.type = "LOCATION",
                                                 model.file = "location.sports"
                                                )