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05_​Named_​Entity_​Tag_​Cloud

Workflow

Importing, preprocessing and visualizing textual data as Tag Cloud
NLPNatural Language Processing
Tag Cloud of Named Entities The workflow starts with a list of documents, which have been downloaded from PubMed and parsedbeforehand and saved as data table. The data is available in the workflow directory.The documents are assigned to two categories and are split, based on the category assignments, into twosets. The first set consists of documents about human and aids, the second set consists of documentsabout mouse and cancer.Part of speech tags as well as gene names are recognized and assigned by the corresponding tagger(POS tagger and Abner tagger), in order to assign a color based on a tag type later on.After preprocessing by filtering and stemming. Bag of words are created and frequencies computed. Againfiltering is applied based on the frequencies. Finally the remaining terms are visulaized in a Tag Cloud. Data Import Preprocessing POS tagging and Named Entity Recognition Tag Cloud Visualization Human-AidsMouse-Cancercolor by poscolor by gene nameOnly nouns andadjectives Table Reader Table Reader Concatenate Tags To String TF Frequency Filter Color Manager Tags To String TF Frequency Filter Color Manager Tag Cloud Tag Cloud Punctuation Erasure N Chars Filter Number Filter Case Converter Snowball Stemmer Tag Filter POS Tagger Abner Tagger Bag Of WordsCreator Bag Of WordsCreator Tag Cloud(JavaScript) Tag Cloud(JavaScript) Stop Word Filter Tag Cloud of Named Entities The workflow starts with a list of documents, which have been downloaded from PubMed and parsedbeforehand and saved as data table. The data is available in the workflow directory.The documents are assigned to two categories and are split, based on the category assignments, into twosets. The first set consists of documents about human and aids, the second set consists of documentsabout mouse and cancer.Part of speech tags as well as gene names are recognized and assigned by the corresponding tagger(POS tagger and Abner tagger), in order to assign a color based on a tag type later on.After preprocessing by filtering and stemming. Bag of words are created and frequencies computed. Againfiltering is applied based on the frequencies. Finally the remaining terms are visulaized in a Tag Cloud. Data Import Preprocessing POS tagging and Named Entity Recognition Tag Cloud Visualization Human-AidsMouse-Cancercolor by poscolor by gene nameOnly nouns andadjectives Table Reader Table Reader Concatenate Tags To String TF Frequency Filter Color Manager Tags To String TF Frequency Filter Color Manager Tag Cloud Tag Cloud Punctuation Erasure N Chars Filter Number Filter Case Converter Snowball Stemmer Tag Filter POS Tagger Abner Tagger Bag Of WordsCreator Bag Of WordsCreator Tag Cloud(JavaScript) Tag Cloud(JavaScript) Stop Word Filter

Download

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Nodes

05_​Named_​Entity_​Tag_​Cloud consists of the following 26 nodes(s):

Plugins

05_​Named_​Entity_​Tag_​Cloud contains nodes provided by the following 3 plugin(s):