Inefficiency of topic modelling for text clustering

Question

I tried doing text clustering using LDA, but it isn\'t giving me distinct clusters. Below is my code

#Import libraries
from gensim import corpora, models
import          


        

Answer 1

That is just realistic.

Neither documents or words are usually uniquely assignable to a single cluster.

If you'd manually label some data, you will also quickly find some documents that cannot be clearly labeled as one or the other. So it's good I'd the algorithm doesn't pretend there were a good unique assignment.