Lt User: Andriuz

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Name: Andriuz

Joined: Friday 16 October 2009 21:13:27 (UTC)

Last seen: Sunday 06 March 2011 22:10:37 (UTC)

Email (public): Not specified

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Location: Vilnius, Lithuania

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Field/Industry: business consulting

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Workflow

Workflow dreseden-term-extraction1 (1)

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Created: 2007-11-22

Credits: User Simon Jupp

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Workflow

Workflow Lemmatization (3)

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The workflow lemmatizes the text in the input port. Takes text as input and returns (language dependent) lemmatized text as output. All the words in the resulting text are in the same order as in the original text, but they are transformed to their dictionary form. The workflow asks for the language of lemmatization. Currently, 12 languages are supported: en,sl,ge,bg,cs,et,fr,hu,ro,sr,it,sp.

Created: 2010-12-17 | Last updated: 2010-12-23

Credits: User Petra Kralj Novak

Attributions: Workflow Select from a list of possible web service parameter values

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Workflow

Workflow Text stemming with Porter Stemmer (1)

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This workflow does text stemming. Stemming removes the inflicted endings of words. It is often used as text preprocessing for text mining, since stemmed words can be easily matched and counted. The input to the workflow is the text to be stemmed, the output is the stemmed text.  

Created: 2011-01-11 | Last updated: 2011-01-11

Credits: User Petra Kralj Novak

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Workflow

Workflow Fetch today's xkcd comic (1)

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Use the local java plugins and some filtering operations to fetch the comic strip image from http://xkcd.com/ Based on the FetchDailyDilbert workflow.

Created: 2008-03-05 | Last updated: 2008-04-07

Credits: User Tomoinn User Stian Soiland-Reyes

Attributions:

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Workflow

Workflow Example of a conditional execution workflow (1)

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If the input is true then the string 'foo' is emited, if false then 'bar'. Just a simple example to show how the monster works, so to speak. Note that this type of workflow is not suitable for Taverna 2. An alternative mechanism is recommended.

Created: 2008-03-05 | Last updated: 2012-05-23

Credits: User Tomoinn

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Workflow

Workflow Success-Abandonment-Classification (3)

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Retrieves data from FLOSSmole and from the Notre Dame SourceForge repository to compute project statistics based on releases, downloads and project lifespan. Project statistics are then used to classify projects according to the criteria set up in English & Schweik, but comparison criteria are parameterized so that a different set of criterion thresholds can be used to evaluate the project characteristics.

Created: 2008-02-06 | Last updated: 2008-07-02

Credits: User Andrea Wiggins User James Howison

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