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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 RSS feeds from Microsoft2) Continue the workflow with a Document Viewer node. Execute the node and open its Document Viewoutput.3) Search for documents with "Visual" in their titles4) Open the details of the document with the title "Visual Studio 2022 for Mac Preview 7" 5) Answer the following questions:- Which words have sentiment tags in the document? top, high-quality, and back Are the tags positive ornegative? positive- When was the review given? 3/15/2022 View reviewsas documents Read the data Sentiment tagging Document Viewer Exercise: Exploring documents with the Document Viewer node1) Execute the metanodes below. They read and preprocess a sample of RSS feeds from Microsoft2) Continue the workflow with a Document Viewer node. Execute the node and open its Document Viewoutput.3) Search for documents with "Visual" in their titles4) Open the details of the document with the title "Visual Studio 2022 for Mac Preview 7" 5) Answer the following questions:- Which words have sentiment tags in the document? top, high-quality, and back Are the tags positive ornegative? positive- When was the review given? 3/15/2022 View reviewsas documents Read the data 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: 2022-03-29
Last update: 2024-12-17
Created with KNIME version: v4.5.2
Tags: Text miningText processingdocument viewernlpnatural language processing

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