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adjidieng / ETM

Topic Modeling in Embedding Spaces
MIT License
538 stars 126 forks source link

embedding #38

Open lw081701019 opened 3 years ago

lw081701019 commented 3 years ago

Hi,

I tried to run this ETM on my own dataset. The embedding part is quite hard to understand. I managed to use skipgram.py to train a word2vec model and get embeddings.txt but failed to use it through the read_embedding_matrix function. Could anyone help me to fix this. it is quite challenging to run this code on a new dataset... Thanks!!!

zhaoLLL commented 2 years ago

I had the same problem. Did you solve it?

974520 commented 2 years ago

hi,bro,did you solve it?

manueltonneau commented 2 years ago

Since this repo doesn't seem to be curated anymore, I suggest you use another repo I just discovered: https://github.com/lffloyd/embedded-topic-model I was able to use ETM very easily with it.