Comments (2)
adjidieng
commented on September 3, 2024
Yes it works for any document size. You must have not have prepared your dataset in the right format or you might have chosen a large learning rate. Also if you choose ReLU as the activation for the inference network for q_theta, make sure you normalize the bag of words input by setting the option bow_norm to 1.
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adjidieng
commented on September 3, 2024
We just added the scripts to pre-process a dataset to the repo. Please check that out and let us know if you still have questions.
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Related Issues (20)
- perform bad on classifiction task HOT 3
- FileNotFoundError: [Errno 2] No such file or directory: 'data/20ng_embeddings.txt'
- How to get the topic vector？ HOT 3
- rising KL_theta values
- 代码运行 HOT 1
- Is that true that a lot of repeated topics appear? HOT 7
- Topic Coherence Computation: Division by 45? HOT 2
- How to modify the code to number of topics other than 50? HOT 1
- Validation set loss is being calculated on the Test set.
- Negative coherence on short texts HOT 1
- Run ETM on my own dataset HOT 3
- How to obtain document-topic proportions (the thetas) for each document HOT 3
- a bug in test dataset splitting HOT 1
- evaluate
- Add predictive measure to utils.py
- dataset
- embedding HOT 3
- Confuse about the data loader function HOT 6
- read embedding matrix when not using trained embeddings HOT 1
- args.clip
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