Data narratives for result: Image1475981286849

Data Narrative 1: Execution view     

 

The Trending Words Visualization method was run on dataset File.txt (input DocumentToFilter) and dataset stop W.txt (input WordsToRemove). The Image1475981286849 results are stored online.

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Data Narrative 2: Data view     

 

The Image1475981286849 results have been derived from the dataset File.txt (input DocumentToFilter) and dataset stop W.txt (input WordsToRemove).

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Data Narrative 3: Method view     

 

The method Trending Words Visualization does not have one main type of analysis step.

The Image1475981286849 results are the product of the Term Visualization (a type of Visualization step).

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Data Narrative 4: Dependency view     

 

The method Trending Words Visualization has 5 steps. Their dependency view is specified as follows. First, the input data is analyzed by Remove Markup, followed by Remove Stop Words (using data from Remove Markup), Word Count (using data from Remove Stop Words), and Sort (using data from Word Count). The final results are produced by Term Visualization (using data from Sort).

The Image1475981286849 results are the product of Term Visualization.

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Data Narrative 5: Implementation view     

 

The method Trending Words Visualization has 5 steps. They are implemented as follows (showing in brackets the general step they implement, if any). First, the input data is analyzed by Remove Markup, followed by Remove Stop Words, Word Count, and Quick Sort (implementation of Sort). The final results are produced by Tag Cloud (implementation of Term Visualization).

The Image1475981286849 results are the product of Tag Cloud.

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Data Narrative 6: Software view     

 

The method Trending Words Visualization has 5 steps. First, the input data is analyzed by Remove Markup, followed by Remove Stop Words, Word Count, and Quick Sort. The final results are produced by Tag Cloud. The steps use the following software:

Tag Cloud uses a bash script and a Java program (see the project website) to perform its functionality.The software is licensed under a GPLv2 license.
Remove Markup uses a bash script program to perform its functionality.The software is licensed under a CreativeCommons license.
Word Count uses a bash script program to perform its functionality.
Quick Sort uses a bash script and a C program (see the project website) to perform its functionality.The software is licensed under a BSD license.
Remove Stop Words uses a bash script and a Javascript program (see the project website) to perform its functionality.The software is licensed under a GPLv3 license.

Text automatically generated by DANA.