Version 1
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Version created on:
19/02/10 @ 09:30:37
by:
James Eales
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Last edited on: 19/02/10 @ 10:17:43 by: James Eales
Title: Sentence splitting
Type: Taverna 2
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Description
This workflow will attempt to split up text into sentences, returning a list of sentences to the output port. The sentence splitting service makes use of the OpenNLP sentence detector and has been trained to work on english text. This workflow can be used to provide input to the Termine with c-value threshold workflow.
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
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[1] - Sentence splitting
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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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Original Uploader |
Created: 19/02/10 @ 10:52:29 | Last updated: 13/12/11 @ 15:56:08
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
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 t...
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 71 times | Downloaded: 34 times Tags (4): |
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Linked Data
Non-Information Resource URI: http://www.myexperiment.org/workflows/1059
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Copyright © 2007 - 2011 The University of Manchester and University of Southampton
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