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04 Cleaning and Filtering

04 Cleaning and Filtering
Exercise: Document Cleaning and FilteringIn this exercise you'll reduce and clean the agenda text of the L4-TP instructor-led course.1) Execute the Tagged document metanode. It applies POS and NE tagging to the agenda text.2) Remove punctuation from the text3) Convert all tokens to lower case4) Filter out stop words using the built-in list and a custom list with the following words: "session", "word","agenda". Check the Ignore unmodifiable flag option.5) Filter the document to proper nouns (POS tags NNP and NNPS). Check the Ignore unmodifiable flag option.6) Exclude locations, organizations and "unknown" NE tags. Check the Ignore unmodifiable flag option.7) Inspect the result with the Tagged Document Viewer node. What are the first three tokens in the document? Parts of speechOrganizationsSession identifiersRegular expressionsbuilt-inandcustom listonly nounssessionwordagendaignore NElocation, organization,unknownURL to RSS feedExampleRead RSS feed and generate document columnFilter unnecessarycolumns POS Tagger StanfordNLPNE Tagger Wildcard Tagger Table Creator Stop Word Filter Tag Filter Tagged DocumentViewer Table Creator Tag Filter Punctuation Erasure Case Converter Table Creator RSS Feed Reader Column Filter Exercise: Document Cleaning and FilteringIn this exercise you'll reduce and clean the agenda text of the L4-TP instructor-led course.1) Execute the Tagged document metanode. It applies POS and NE tagging to the agenda text.2) Remove punctuation from the text3) Convert all tokens to lower case4) Filter out stop words using the built-in list and a custom list with the following words: "session", "word","agenda". Check the Ignore unmodifiable flag option.5) Filter the document to proper nouns (POS tags NNP and NNPS). Check the Ignore unmodifiable flag option.6) Exclude locations, organizations and "unknown" NE tags. Check the Ignore unmodifiable flag option.7) Inspect the result with the Tagged Document Viewer node. What are the first three tokens in the document? Parts of speechOrganizationsSession identifiersRegular expressionsbuilt-inandcustom listonly nounssessionwordagendaignore NElocation, organization,unknownURL to RSS feedExampleRead RSS feed and generate document columnFilter unnecessarycolumns POS Tagger StanfordNLPNE Tagger Wildcard Tagger Table Creator Stop Word Filter Tag Filter Tagged DocumentViewer Table Creator Tag Filter Punctuation Erasure Case Converter Table Creator RSS Feed Reader Column Filter

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Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2022-03-26
Last update: 2024-04-27
Created with KNIME version: v4.5.0
Tags: Text miningText processingdocument cleaningnlpnatural language processingstop word filtercase convertertag filter

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