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Document Classification by single word and its position?
![Axel_Borowitsch](https://us.v-cdn.net/6030995/uploads/defaultavatar/nCCNNSPK1YM69.jpg)
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I would like to get the class of a document out of the document structure consider single words and their position.
I have Training-Data within an Excel-Document:
Training-data:
![image](http://i.stack.imgur.com/HIh6z.png)
I would like to use Rapidminer to identify different document-classes in a medical environment. I thought about a neuronal network but I can't handle the polynominal attribute WORD.
How can I use the string WORD as an attribute? I assume the nominal2numeric conversion would provide too many rows.
The training has to consider all lines of one DOC_ID and its entries as one document. The occurrence and position of the words in one document have to be part of the neuronal network. How can I deliver this information to the training process, keeping the information together?
Thank you very much in advance!
All the best
Axel
I have Training-Data within an Excel-Document:
Training-data:
![image](http://i.stack.imgur.com/HIh6z.png)
I would like to use Rapidminer to identify different document-classes in a medical environment. I thought about a neuronal network but I can't handle the polynominal attribute WORD.
How can I use the string WORD as an attribute? I assume the nominal2numeric conversion would provide too many rows.
The training has to consider all lines of one DOC_ID and its entries as one document. The occurrence and position of the words in one document have to be part of the neuronal network. How can I deliver this information to the training process, keeping the information together?
Thank you very much in advance!
All the best
Axel
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