Comments (3)
manueltonneau
commented on July 28, 2024
1
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.
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lxkkk117
commented on July 28, 2024
Hello, Is it possible to know how this data is like: "raw/new_york_times_text/nyt_docs.txt"? I am trying to fit my own dataset but don't know to which type should I transform ... Wish somebody can help!
Thanks!
i also encounter this problem, have you solve that? could you please tell me how to do, thank you !
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Idan-Garay
commented on July 28, 2024
@manueltonneau were you able to predict test_dataset with the model from that repo?
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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
- 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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