Reliable methods to validate clustering of text phrases? Question is in the title. I have clustered the word embeddings of text phrases, and now want to try and check whether the resulting clusters are coherent enough. I have tried methods that are standardly used for cluster validation such as SSE, silhouette scores and Dunn index but none have proven effective in this case. Any other suggestions? Would be grateful for a detailed response or a link to any other methods which may work.

You say you want to know whether the embedding is "coherent enough". It is not very clear what you mean by that, but I presume your question is somehow: How do I measure the quality of my embedding?
And that depends on what you want to do. The clustering property of the embedding might not have anything to do with the task you want to solve. So, find a metric that evaluates your overall task, and then tune your embedding according to this metric.
