How to intrepret Clusters results after using Doc2vec?

Question

I am using doc2vec to convert the top 100 tweets of my followers in vector representation (say v1.....v100). After that I am using the vector representation to do the K-Means cl

Answer 1

The clusters themselves does not mean anything specific. You can have as many clusters as you want and all the clustering algorithm would do is try to distribute all your vectors among these clusters. If you are aware of all the tweets and know how many different topics you want them to be separated in, try to clean them or have features in them such that the clustering algorithm can use those to segregate them in the clusters of your choice.

Also if you meant topic modeling, that is different from clustering and you should also look that up.