NERExtractor Arguments - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product

Teradata Vantage

Release Number

8.00

1.0

Published

May 2019

Language

English (United States)

Last Update

2019-11-22

dita:mapPath

blj1506016597986.ditamap

dita:ditavalPath

blj1506016597986.ditaval

dita:id

B700-4003

lifecycle

Product Category

Teradata Vantage™

TextColumn

Specify the name of the input table column that contains the text to analyze.

ModelFiles

[Optional] Specify the CRF models (binary files) to use, output by NERTrainer. If you specified the ExtractorJAR argument in the NERTrainer call that created model_file, then you must specify the same jar_file in this argument. You must install model_file and jar_file in the ML Engine before calling the NERExtractor function.

The names model_file and jar_file are case-sensitive.

InputLanguage

[Optional] Specify the language of the input text:

Option	Description
'en' (Default)	English
'zh_CN'	Simplified Chinese
'zh_TW'	Traditional Chinese

ShowContext

[Optional] Specify the number of context words to output (a positive integer). The function outputs the n words that precede the entity, the entity, and the n words that follow the entity.

Default: 0

Accumulate

[Optional] Specify the names of the input table columns to copy to the output table.