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01 Document Viewer

01 Document Viewer
Exercise: Exploring documents with the Document Viewer node1) Execute the metanodes below. They read and preprocess a sample of TripAdvisorreviews of restaurants in Boston.2) Continue the workflow with a Document Viewer node. Execute the node and open itsDocument View output.3) Search for documents with "pizza" in their titles4) Open the details of the document with the title "huge pizza" 5) Answer the following questions:- Which word has a sentiment tag in the document? Is the tag positive or negative?- When was the review given? URL to RSS feedExampleRead RSS feed and generate document columnFilter unnecessarycolumns Table Creator RSS Feed Reader Column Filter Sentiment tagging Document Viewer Exercise: Exploring documents with the Document Viewer node1) Execute the metanodes below. They read and preprocess a sample of TripAdvisorreviews of restaurants in Boston.2) Continue the workflow with a Document Viewer node. Execute the node and open itsDocument View output.3) Search for documents with "pizza" in their titles4) Open the details of the document with the title "huge pizza" 5) Answer the following questions:- Which word has a sentiment tag in the document? Is the tag positive or negative?- When was the review given? URL to RSS feedExampleRead RSS feed and generate document columnFilter unnecessarycolumns Table Creator RSS Feed Reader Column Filter Sentiment tagging Document Viewer

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2022-03-26
Last update: 2024-04-25
Created with KNIME version: v4.5.0
Tags: Text miningText processingdocument viewernlpnatural language processing

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