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 Version 2 (latest)
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Version created on:
19/02/10 @ 10:52:29
by:
James Eales
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Revision comments 
Last edited on: 20/03/10 @ 15:41:53 by: James Eales
Title: Terms from collection of PDF files
Type: Taverna 2
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Description
This workflow will give you a set of candidate terms for each PDF document in a user-specified directory. You can also specify a c-value threshold that will restrict the terms to those with higher scores.
This workflow was created using only nested workflows. These workflow components work on their own and can be linked together to form more complex workflows such as this. You can view the text mining workflow components in this pack.
If you receive errors when running this workflow then check if you have access to the NaCTeM web services here. If you do not have access then you can request access from the same page.
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http://www.myexperiment.org/workflows/1061/download?version=2
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[1] - Terms from collection of PDF files
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[2] - Terms from collection of PDF files
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Other workflows that use similar services
(10)
Only the first 2 workflows that use similar services are shown. View all workflows that use these services.
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Original Uploader |
Created: 22/02/10 @ 18:05:24 | Last updated: 13/12/11 @ 15:55:39
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will give you a set of candidate terms for each text file in a user-specified directory. You can also specify a c-value threshold that will restrict the terms to those with higher scores.
This workflow was created using only nested workflows. These workflow components work on their own and can be linked together to form more complex workflows such as this. You can view the text mining workflow components in this pack.
If you receive errors when running this workflow then...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 80 times | Downloaded: 22 times Tags (4): |
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 Download (v1)
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Original Uploader |
Created: 06/05/11 @ 16:52:35 | Last updated: 13/12/11 @ 15:58:54
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow accepts a plain text input and provides a single text document per input containing one sentence per line. Newline characters are removed from the original input.
The OpenNLP sentence splitter is used to split the text, this is provided by University of Manchester Web Services.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 19 times | Downloaded: 14 times Tags (7): |
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Linked Data
Non-Information Resource URI: http://www.myexperiment.org/workflows/1061
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