Challenge 34 - Word Scramble - Solution

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

Hint: Our simple solution only uses 5 nodes, but the permutations are not exactly random. Conversely, our more complex solution uses more than 15 nodes and 2 loops, as well as the Random Numbers Generator node, to create truly scrambled sentences.

Bonus: Create a solution with true randomization without using any loops.

Challenge 34 - Word Scramble - Solution

Nodes

Extensions

Links

Download