The Detect Topics method was run on dataset stop W.txt (input WordsToRemove) and dataset File.txt (input DocumentToFilter), with NUMBER1476159251570 set to 10 and ITERATIONS1476159251570 set to 5. The Image1476159251570 results are stored online.
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The Image1476159251570 results have been derived from the dataset File.txt (input DocumentToFilter) and dataset stop W.txt (input WordsToRemove).
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The method Detect Topics performs a single main type of analysis on the input dataset through the Topic Detection step. First, the input data is analyzed by File Filter (a type of Filter step), followed by Remove Stop Words (a type of Filter step), Reformat (a type of FormatTransformation step), and Topic Detection (a type of Analysis step). The final results are produced by Plot Topics (a type of Visualization step).
The Image1476159251570 results are the product of the Plot Topics (a type of Visualization step).
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The method Detect Topics has 5 steps. Their dependency view is specified as follows. First, the input data is analyzed by File Filter, followed by Remove Stop Words (using data from File Filter), Reformat (using data from Remove Stop Words), and Topic Detection (using data from Reformat). The final results are produced by Plot Topics (using data from Topic Detection).
The Image1476159251570 results are the product of Plot Topics.
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The method Detect Topics 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 (implementation of File Filter), followed by Remove Stop Words, Format Mallet (implementation of Reformat), and LDA (implementation of Topic Detection). The final results are produced by Plot Topics.
The Image1476159251570 results are the product of Plot Topics.
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The method Detect Topics has 5 steps. First, the input data is analyzed by Remove Markup, followed by Remove Stop Words, Format Mallet, and LDA. The final results are produced by Plot Topics. The steps use the following software:
Plot Topics uses a bash script and a Java program to perform its functionality.The software is licensed under a GPLv3 license.
LDA uses a bash script and a C program (see the project website) to perform its functionality.
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.
Format Mallet uses a bash script and a Perl 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.
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