Closed Benja1972 closed 4 years ago
You may use the Doc2Vec Assignment to do so. You will need to convert the unseen document to a binary vector as the input data. Each element in the vector corresponds to a word (in the same order) in the vocabulary you used to train the model.
Thank you! Very informative, I will try
In LDA methods after creation of topics model we can fit unseen document and get topics distribution on it. I wonder if it is possible with HLTA model? How to annotate unseen document by topics already created by HLTA model?
Thank you