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<?xml version="1.0" encoding="UTF-8" standalone="no"?><process version="5.0"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" expanded="true" name="Process"> <process expanded="true" height="306" width="748"> <operator activated="true" class="text:create_document" expanded="true" height="60" name="Create Document" width="90" x="51" y="86"> <parameter key="text" value="Hi, you cannot use the weighting if you don't have labels. That's because the weighting expresses the importance of words for distinguishing documents of the different labels. If you don't have labels, there's nothing to distinguish and hence no weighting... What do you need the word list for? Perhaps you can simply generate the standard word list automatically by processing the documents using something like that: "/> </operator> <operator activated="true" class="text:create_document" expanded="true" height="60" name="Create Document (2)" width="90" x="51" y="236"> <parameter key="text" value="hi, I would like to create a word list for a list of documents. I read fromthe word vector tool tutorial that the following chain of operators can help : TextInput, CorpusBasedWeighting and InteractiveAttributeWeighting. I tried it but at lost at what to fill in for parameter class_to_characterize for CorpusBasedWeighting. I have no class label specified as there is no class involved. I have document name as ID and the content as attribute for the input. Appreciate any advice and guidance."/> </operator> <operator activated="true" class="text:documents_to_data" expanded="true" height="94" name="Example Data" width="90" x="246" y="165"> <parameter key="text_attribute" value="text"/> </operator> <operator activated="true" class="text:process_document_from_data" expanded="true" height="76" name="Process Documents from Data" width="90" x="514" y="165"> <list key="specify_weights"/> <process expanded="true" height="444" width="828"> <operator activated="true" class="text:tokenize" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/> <connect from_port="document" to_op="Tokenize" to_port="document"/> <connect from_op="Tokenize" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <connect from_op="Create Document" from_port="output" to_op="Example Data" to_port="documents 1"/> <connect from_op="Create Document (2)" from_port="output" to_op="Example Data" to_port="documents 2"/> <connect from_op="Example Data" from_port="example set" to_op="Process Documents from Data" to_port="example set"/> <connect from_op="Process Documents from Data" from_port="example set" to_port="result 1"/> <connect from_op="Process Documents from Data" from_port="word list" to_port="result 2"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> <portSpacing port="sink_result 3" spacing="0"/> </process> </operator></process>
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