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### Pandas version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/i…
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Having already done:
```
!pip install cugraph-cu11 cudf-cu11 cuml-cu11 --extra-index-url=https://pypi.nvidia.com
!pip uninstall cupy-cuda115 -y
!pip uninstall cupy-cuda11x -y
!pip install cupy-cu…
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Hi Maarten,
Thank you very much for your great work!
Unfortunately I get some error messages after running the Quick Start Code:
Traceback (most recent call last):
File "C:\ReviewMining\RevM…
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```
from bertopic import BERTopic
from sklearn.datasets import fetch_20newsgroups
from scipy.cluster import hierarchy as sch
docs = fetch_20newsgroups(subset='all', remove=('headers', 'footers'…
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Hello folks,
I am trying to save my model using the `.save('online_model')` method, but I get the following error which I can't seem to understand:
```
-----------------------------------------…
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@MaartenGr
I am an R enthusiast who is new to Python. I have read your posts on "_Interactive Topic Modeling with BERTopic_", and it predecessor, "_Topic Modeling with BERT_". Thanks for an aweso…
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I have a dockerized python service that is using BERTopic for topic modelling.
It works fine for very small datasets but I have a dataset with about 32K news articles and the `fit` method or model…
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I am working with finding topics from search queries that are very short in input length and sometimes the inputs are just words. I tried using the `paraphrase-multilingual-MiniLM-L12-v2` as the embed…
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Hi,
here is a dataframe subset containing a cluster `"204"` which has clusters `"48"` and `"74"` as children, returned from `hierarchical_topics(docs)` method:
As shown, the distance between…
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Hello Maarten,
Thanks for your great work on topic modeling.
I just realize that when you compare the **count of documents** from topic_model.get_representative_docs(#topic 0) to the count of topi…