MaartenGr / MaartenGr/BERTopic
the 6 steps of BERTopic
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- Python
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Description
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Desribe the bug
Hello,
I have a question. According to the document, I understand that BERT-Topic consists of six steps, with the representation tuning step being optional. I have read many articles in a specific field that used BERTopic, but my question is why they don’t all include these five steps. For example, some articles only include embedding, dimension reduction, clustering, and weighting scheme (c-TF-IDEF). I’d like to know if each step can be omitted and whether using all five remaining steps is necessarily required?,
Reproduction
from bertopic import BERTopic
BERTopic Version
0.16.3
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the BERTopic documentation describing its six steps and the optional representation-tuning step, then inspect the supplied BERTopic 0.16.3 import if needed. Done means the documentation clearly explains whether each step can be omitted and whether all remaining steps are required.
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Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100