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03 Tagging

03 Tagging
Exercise: Tagging documentsIn this exercise you'll add different types of tags to the Microsoft RSS feeds.1) Execute the workflow below. It accesses the text from RSS feed and converts it into a document.2) Apply POS tagging to the document. Which POS tags are the most common in the agenda? (You can inspectthe results with the Tagged Document Viewer node) It's really hard to tell, but I'd guess NNs or NNp.3) Apply NE tagging to the document. Which organization is mentioned in the documents? Microsoft 4) Apply wildcard tagging to the document. Match with the regular expressions "\d" and "\D+\d". Apply the tag typeNE and tag value UNKNOWN. Which parts of the agenda did you tag here? Numbers within the feed parts of speechorganizationsnumeric identifiersregular expressionsread rss feed Strings To Document POS Tagger Tagged DocumentViewer StanfordNLPNE Tagger Tagged DocumentViewer Tagged DocumentViewer Wildcard Tagger Table Creator Metanode Exercise: Tagging documentsIn this exercise you'll add different types of tags to the Microsoft RSS feeds.1) Execute the workflow below. It accesses the text from RSS feed and converts it into a document.2) Apply POS tagging to the document. Which POS tags are the most common in the agenda? (You can inspectthe results with the Tagged Document Viewer node) It's really hard to tell, but I'd guess NNs or NNp.3) Apply NE tagging to the document. Which organization is mentioned in the documents? Microsoft 4) Apply wildcard tagging to the document. Match with the regular expressions "\d" and "\D+\d". Apply the tag typeNE and tag value UNKNOWN. Which parts of the agenda did you tag here? Numbers within the feed parts of speechorganizationsnumeric identifiersregular expressionsread rss feed Strings To Document POS Tagger Tagged DocumentViewer StanfordNLPNE Tagger Tagged DocumentViewer Tagged DocumentViewer Wildcard Tagger Table Creator Metanode

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Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2022-03-29
Last update: 2024-04-30
Created with KNIME version: v4.5.2
Tags: Text miningText processingPOSNEnlpnatural language processingtagging

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