One of your tasks at work is to train a model using sentences with the correct word context (i.e., words in a sentence following a meaningful and correct order). However, to train such model, you also need to create a dataset of words used in an incorrect context.
You can think of this task as a version of Negative Sampling - a neat technique for training the famous Word2Vec model. Concretely, in this challenge you will create a workflow that takes a sentence and scrambles the order of its words. You can create a small sample of sentences to test your work with the Table Creator node.
Input
I like cats.
Output
cats. like I
Workflow
Just KNIME It _ Challenge 034
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.1
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