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Hey, thanks for the great work -- do you plan to release your trained LDA model for the analysis in sec 4.2? Thanks!
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Currently, I am calculating the Coherence of a bertopic model using the gensim. For this I need the n_grams from each text of the corpus. Is it possible? The function used by gensim waits for the corp…
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Hi! Very nice project you have been starting. I'd be interested in contributing.
## Some of my potentially useful experience:
- hierarchical models (extensively via MixedModels.jl / LME4)
- okais…
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It would be interesting to see if DTM ius possible with quantized models.
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Hi Maarten,
I've been reducing outliers by running another topic model exclusively on them, and it has been effective. However, when attempting to merge the models, a new topic (-1) is created that…
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Hi,
Thank you so much for this amazing package. This is a question and not an issue, I hope it's appropriate to post here.
In my use case, I re-train BERTopic daily to capture new topics that a…
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**Topic**
Generative Models
**How is the topic relevant to the tric-dt themes?**
Generative models are applied in cardiac DT pipeline to translate between different imaging modalities, and there …
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# Training, evaluating, and interpreting topic models | Julia Silge
At the beginning of this year, I wrote a blog post about how to get started with the stm and tidytext packages for topic modeling. …
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**Problem Overview**
When using the ```merged_model = BERTopic.merge_models([topic_model_1, topic_model_2])``` command the produced merged topic model cannot be visualised as a hierarchical topic mod…
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_Edit: I have surprisingly missed both the `topics_` atrribute and the `get_document_info()` method. My question is changed a little bit and I am now wondering why the transform is different to the or…