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07 Visualizations

07 Visualizations
Exercise: VisualizationsIn this exercise you'll visualize the text of the Microsoft RSS feeds in a word cloud and a bar chart.1) Execute the workflow below. It preprocesses the text of the RSS feeds, and calculates the absolute termfrequencies.2) Display a word cloud of the agenda. Use absolute term frequency as the size column.3) Use the Color Manager node to color the words by the absolute term frequency value. Recreate the word cloud. 4) Start a parallel branch from the TF node, and filter out words that occur only once5) Convert the term column into a string column6) Create a bar chart that displays the absolute frequencies of the words. Which words occur at least 10 times in thetext (excluding https and href)? studio, visual, and preview absolute frequencyhigher frequency words are blueexclude words thatoccur only once PreprocessedDocument TF Bag Of WordsCreator Tag Cloud Color Manager Row Filter Term To String Bar Chart Exercise: VisualizationsIn this exercise you'll visualize the text of the Microsoft RSS feeds in a word cloud and a bar chart.1) Execute the workflow below. It preprocesses the text of the RSS feeds, and calculates the absolute termfrequencies.2) Display a word cloud of the agenda. Use absolute term frequency as the size column.3) Use the Color Manager node to color the words by the absolute term frequency value. Recreate the word cloud. 4) Start a parallel branch from the TF node, and filter out words that occur only once5) Convert the term column into a string column6) Create a bar chart that displays the absolute frequencies of the words. Which words occur at least 10 times in thetext (excluding https and href)? studio, visual, and preview absolute frequencyhigher frequency words are blueexclude words thatoccur only once PreprocessedDocument TF Bag Of WordsCreator Tag Cloud Color Manager Row Filter Term To String Bar Chart

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Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2022-03-29
Last update: 2024-11-17
Created with KNIME version: v4.5.2
Tags: NLPText miningText processingNatural Language Processingtag cloud

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