Ranking algorithm based on a handful of features

I am trying to determine the apt algorithm for a ranking problem that I am working on. I have social media metrics - engagement, sentiment, audience size etc for several brands and am looking for a ranking / classification algorithm to rank them.

I am not sure if I have a dependent variable or label class for classical classification algorithms.

The data is aggregated by brands and algorithms needs to rank the brands based on the metrics.

Any ideas would be much appreciated.

Topic ranking scoring classification machine-learning

Category Data Science

1
answered at

That problem is can be framed as learning to rank. In order to use learning to rank algorithms, each data example needs to have a label which is the relative ordering of results.

If you do not have labels, you will have to use unsupervised learning. For example, clustering similar activity together.

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