(17-10-2025, 10:34 PM)quimqu wrote: You are not allowed to view links. Register or Login to view.Not exatcly. I need to understand anf find the sequence. Note that the UMAPS shown are not directly calculated with the original words, but wit the topic distribution of the paragraph. We have two topics, but it seems that the distributions are moving from a paragraph to the other.
If these just track short topic vectors, then it's possible that paragraphs can be simply ordered by the model using the percentage of the dominating topic in the paragraph (or any other simple function), in which case for 4 topics you can get 4 snake-like clusters, each representing paragraphs that are rich in topic 1, 2, 3 or 4 sorted by the weight of the main topic.
If you are modeling low dimensional data, you naturally get a very low dimensional simple picture, isn't this expected? There is no feature expansion or anything like that.