NER Arguments - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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uce1497542673292.ditamap
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B700-1022
lifecycle
previous
Product Category
Software
TextColumn
Specifies the name of the input table column that contains the text to analyze.
Models
[Optional] Specifies the CRF models (binary files) to use, generated by NERTrainer. If you specified the ExtractorJAR argument in the NERTrainer call that generated model_file, then you must specify the same jar_file in this argument. You must install model_file and jar_file in Aster Database under the user search path before calling the NER function.
The names model_file and jar_file are case-sensitive.
Language
[Optional] Specifies the language of the input text:
  • 'en': English (Default)
  • 'zh_CN': Simplified Chinese
  • 'zh_TW': Traditional Chinese
ShowEntityContext
[Optional] Specifies the number of context words to output. If context_words is n (which must be 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] Specifies the names of the input table columns to copy to the output table.