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Amazon Comprehend (Syntax Tagger)

StreamableKNIME Amazon Machine Learning Integration version 4.3.0.v202011211914 by KNIME AG, Zurich, Switzerland

This node assigns to each term of a document a syntax (or part-of-speech, i.e. POS) tag using the Amazon Comprehend service. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text.
The Amazon Comprehend service uses a set of part-of-speech tags that are defined here.
For more information about AWS Comprehend can be found on this website.

Options

General options

Document column
The column containing the documents to tag.
Replace column
If checked, the documents of the selected document column will be replaced by the new tagged documents. Otherwise the tagged documents will be appended as new column.
Append column
The name of the new appended column, containing the tagged documents.
Source language
Select the language of the incoming documents.
Word tokenizer
Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.

Input Ports

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The AWS connection information.
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The input table containing the documents to tag.

Output Ports

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An output table containing the tagged documents.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Amazon Machine Learning Integration from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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