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Amazon Comprehend (Entity Tagger)

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

This node assigns named-entity tags to terms by using the AWS Comprehend service.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. For a list of all named-entities that can be detected by the service click here.

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

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

Output Ports

: An output table containing the tagged documents.

Best Friends (Incoming)

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Amazon Comprehend (Entity Tagger) (6 %) Streamable
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Best Friends (Outgoing)

Amazon Comprehend (Syntax Tagger) (21 %) Streamable
Bag Of Words Creator (16 %)
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Workflows

02_Amazon_Comprehend_Translate_Travel_Risk_Map (KNIME Hub)
10_Amazon_ML_Services_meets_Google_Charts.knwf (KNIME Hub)
AWSNodes (KNIME Hub)

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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