nlp_ner_chunker: Spark NLP NerChunker

In r-spark/sparknlp: R Interface to John Snow Labs Spark NLP

Spark NLP NerChunker

Description

Spark ML transformer that extracts phrases that fit into a known pattern using the NER tags See https://nlp.johnsnowlabs.com/docs/en/licensed_release_notes#1-nerchunker

Usage

nlp_ner_chunker(
  x,
  input_cols,
  output_col,
  regex_parsers = NULL,
  uid = random_string("ner_chunker_")
)

Arguments

x	A spark_connection, ml_pipeline, or a tbl_spark.
input_cols	Input columns. String array.
output_col	Output column. String.
regex_parsers	A list of regex patterns to match chunks, for example: Array(“‹DT›?‹JJ›*‹NN›”)
uid	A character string used to uniquely identify the ML estimator.

Value

The object returned depends on the class of x.

• spark_connection: When x is a spark_connection, the function returns an instance of a ml_estimator object. The object contains a pointer to a Spark Estimator object and can be used to compose Pipeline objects.

• ml_pipeline: When x is a ml_pipeline, the function returns a ml_pipeline with the NLP estimator appended to the pipeline.

• tbl_spark: When x is a tbl_spark, an estimator is constructed then immediately fit with the input tbl_spark, returning an NLP model.

r-spark/sparknlp documentation built on Oct. 15, 2022, 10:50 a.m.