This node assigns a named entity tag to each term of a document.
It is applicable for English, German and Spanish texts. The
built-in tagger models are models created by the Stanford NLP group:
http://nlp.stanford.edu/software/.
You can use the StanfordNLP NE Learner to create your own model based on untagged documents and a dictionary
and forward the model to the second input port of this node.
If there is no input model, the "use model from input port" option will be deactivated.
The other way around, if there is a model at the input port and the optionis activated, the StanfordNLP
model selection will be disabled.
Note: The provided tagger models vary in memory consumption and processing speed. Especially the distsim models have an increased runtime, but mostly a better performance as well. There are also models without distributional similarity features. For the usage of these models it is recommended to run KNIME with at least 2GB of heap space. To increase the head space, change the -Xmx setting in the knime.ini file.
Options
General options
Tagger Options
Popular Predecessors
- N Chars Filter6 %
- StanfordNLP NE Tagger5 %
- POS Tagger4 %
- Column Filter3 %
- Stanford Tagger3 %
- Strings to Document3 %
- Markup Tag Filter3 %
Stop Word Filter3 %- Dictionary Tagger3 %
- Stanford Lemmatizer3 %
- Wildcard Tagger3 %
Model Reader3 %- Partitioning3 %
- Punctuation Erasure3 %
- PDF Parser3 %
- Chunk Loop Start3 %
- Stop Word Filter3 %
- Tagged Document Viewer3 %
- Model Reader3 %
- StanfordNLP NE Learner2 %
- Bag Of Words Creator2 %
- Snowball Stemmer2 %
- Document Viewer2 %
Row Filter (deprecated)2 %- Dictionary Replacer1 %
- Tag Filter1 %
- StanfordNLP NE Scorer1 %
- String Manipulation1 %
- Diacritic Remover1 %
- Replacer1 %
- Sentence Extractor1 %
- Reference Row Filter< 1 %
- Dictionary Filter< 1 %
CSV Reader< 1 %- Rule-based Row Filter< 1 %
- Rule-based Row Splitter< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Porter Stemmer< 1 %
Regex Extractor< 1 %Row Splitter (deprecated)< 1 %- Cell to Model< 1 %
- Case Converter< 1 %
- Tika Parser< 1 %
- OpenNLP NE Tagger< 1 %
- Document Data Extractor< 1 %
File Reader< 1 %Table Reader< 1 %- Column Aggregator< 1 %
Excel Reader (XLS)< 1 %Excel Reader (XLS)< 1 %Read Excel Sheet Names (XLS)< 1 %- Number Filter< 1 %
- RegEx Filter< 1 %
- Document Grabber< 1 %
- Word Parser< 1 %
- RSS Feed Reader< 1 %
- Abner Tagger< 1 %
- Column Filter (legacy)< 1 %
- File Reader (Complex Format)< 1 %
Column Rename< 1 %- Row Sampling< 1 %
- Excel Reader< 1 %
- TF< 1 %
- Flat File Document Parser< 1 %
- Python Source (legacy)< 1 %
Views
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Workflows
02_Train_A_NER_ModelKNIME Hub- 02_Train_A_NER_ModelKNIME Hub
- 02_Train_A_NER_ModelKNIME Hub
- 02_Train_A_NER_ModelKNIME Hub
- 03 TaggingKNIME Hub
- Show all 521 workflows
Links
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Developers
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