TopicTuner

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For the same docs, my dimensionality reduction in Bertopic costed 1.5 hour but tmt.reduce() only costed 10 more mins. The following is the output of tmt.reduce(): UMAP(angular rp forest=True, metric='cosine,...

evelynxyx

Hi Great package! May I ask what evaluation metrics you used for evaluate the success?

yml-blog

how does topicTuner help the parameter setting process

4

@drob-xx I checked your code, very impressive work, here I got a question. I think you used grid search to do different setting of min_cluster_size and min-samples and did some...

652994331

Use grey for outliers in visualizeEmbeddings

1

Hi there, It would be great if visualizeEmbeddings used grey or something like that for the -1 outlier topic so that it is distinguishable from other topics (like the visualisation...

zilch42

Unhelpful error in VisualizeEmbeddings when docs not set

1

Hi there, Small thing, I think it may be helpful to have some error checking on whether docs have been set when they are needed. I was running through the...

zilch42

Hey, First off, great work for the library, i think it already helps in general for most use cases to cluster with the least amount of outliers as possible, and...

seraph-wing