NERExtractor Syntax Elements - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
TextColumn
Specify the name of the input table column that contains the text to analyze.
InputModelFiles
[Optional] Specify the CRF models (binary files) to use, output by NERTrainer (ML Engine). If you specified the ExtractorJAR syntax element in the NERTrainer call that created input_model_file, then you must specify the same jar_file in this syntax element. You must install input_model_file and jar_file in ML Engine before calling the NERExtractor function.
The names input_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.