The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at
http://knime.com.
OpenNLP NE tagger
This node recognizes named enities based on opennlp models version
1.5.2 and assigns the corresponding tags to them. The following
entities are recognized: Persons, Locations, Organizations, Money,
Date, and Time. For more details of the OpenNlp natural language
processing toolkit, see
http://opennlp.apache.org/documentation.html.
Dialog Options
- Set named entities unmodifiable
-
Sets recognized named entity terms unmodifiable.
- OpenNlp model
-
Specifies the OpenNLP model to use. Each model is able to recognize
a certain type of named entities.
- Use additional dictionary file
-
If checked an additional dictionary file is used by the OpenNlp
model to recognize entities.
- Dictionary file
-
The location of the dictionary file. Each named entity have to be
written in one line and each word of this entity must be separated
by a whitespace, i.e:
Firstname1 Lastname2
Firstname2 Lastname2
Ports
Input Ports
0 |
The input table
containing the documents to tag. |
Output Ports
0 |
An output table
containing the tagged documents. |
This node is contained in KNIME Textprocessing Plug-in
provided by KNIME GmbH, Konstanz, Germany.