This problem involves clustering customer reviews in order to group together similar reviews and distinguish different groups of reviews. This can be done using unsupervised learning methods such as k-means clust ering.
The candidate's solution is complete and solves the problem. The candidate has correctly identified the k-means algorithm as a suitable solution for this problem. The candidate has also correctly identified some of the benefits and drawbacks of using the k-means algorithm.
Evaluated at: 2022-10-12 23:39:20