PDF to plain text

Created: 2010-02-19 09:07:41      Last updated: 2011-12-13 15:53:29

This workflow will extract the plain text content of PDF files supplied to the input port.  You can connect the Load PDF from directory workflow to this workflows input. We recommend you send the output from this workflow to the Clean plain text workflow, because the PDF to text process can add characters into the text that are XML-invalid and therefore can not be sent to most services as plain text.  Another way round this problem is to encode the text as Base64 using the handy local service ("Encode Byte Array to Base 64") included with Taverna, although this requires a service that knows to decode the Base 64 back to text, which is not common. The PDF to text service makes use of the "pdftotext" executable from Xpdf.

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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Workflow Terms from collection of PDF files (2)

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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...

Created: 2010-02-19 | Last updated: 2011-12-13

Credits: User James Eales

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Workflow From PDF to lemmatized text (1)

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This workflow uses the web service stationed in JSI (IJS Slovenia), which is based on Matjaž Juršič's LemmaGen - lemmatization engine. The workflow accepts a PDF file as an input an uses James Eales's wrokflows to preprocess the data. The workflow interactively asks the user of which language is the text, since the lemmatization process is language based. The output is a string in Taverna Workbench.

Created: 2010-09-16 | Last updated: 2012-01-18

Credits: User Netr User James Eales

Attributions: Workflow PDF to plain text Workflow Clean plain text