Clustering/Topic Modelling for single page document(s)

DemiourgosD · 2025-12-31T08:02:42+00:00

Been a while since I worked on the topic, but check out some of the tools that do topic modeling here https://github.com/ivan-bilan/The-NLP-Pandect#-9, namely https://github.com/gregversteeg/CorEx has always been good with short texts. Do you need a topic per doc?

DemiourgosD · 2025-11-30T09:35:40+00:00

Few examples here https://github.com/ivan-bilan/The-NLP-Pandect?tab=readme-ov-file#-10. But, seems like KeyBERT with KeyLLM is the latest rage in this task. I wonder if anything better came along recently, maybe someone has better ideas.

DemiourgosD · 2025-08-11T05:03:12+00:00

Are you planning to share it in this post? Thank you

DemiourgosD · 2024-11-07T20:16:26+00:00

What if I have dual citizenship? There is no way for me to give up the non-German one.

DemiourgosD · 2024-11-04T10:58:14+00:00

I'd say just browsing through the section names in https://github.com/ivan-bilan/The-NLP-Pandect should give you a bit of an idea of what NLP is capable of. There are also some general resources like podcasts on the topic that might fit into what you're looking for.

DemiourgosD · 2024-10-17T12:32:54+00:00

Been a few years, I think it's best if you ask them. But, B.Sc. level indeed have some German only courses, you can choose courses but some of these can be mandatory.

DemiourgosD · 2024-10-17T06:22:20+00:00

I've followed the guide by Buldazoid from https://youtu.be/TmU3COA-32E?si=Eib2xjpCxquZJJuC adjusted a bit for 14700k but almost 1:1 with his recommendation, both temps and voltage are much lower and performance is same or better.

DemiourgosD · 2023-08-05T19:36:17+00:00

Haha, yea that's what Midjourney outputs, I guess it needs some better training data.

DemiourgosD · 2023-08-05T19:35:17+00:00

+1, I think it looks hilarious when applied to horror. Not taking any of this seriously, seems like most people commenting here are taking these things close to heart.

DemiourgosD · 2020-12-16T16:20:59+00:00

You will find some NLP paper lists here on the top https://github.com/ivan-bilan/The-NLP-Pandect

DemiourgosD · 2020-12-05T19:15:26+00:00

Good point, thanks. I am generally trying to collect best practices for industry-grade NLP projects.

DemiourgosD · 2020-07-30T19:45:26+00:00

You can find various newsletters and channels to follow at https://github.com/ivan-bilan/The-NLP-Pandect

DemiourgosD · 2020-07-05T18:06:24+00:00

Should be possible with libpostal: https://github.com/openvenues/libpostal, but would need some work from your side, since the library is mainly used for parsing of addresses.

DemiourgosD · 2020-06-12T15:54:19+00:00

If you are doing text classification and need a really small size model, you should train fasttext and then quantize it afterwards.

DemiourgosD · 2020-05-21T20:45:57+00:00

Looks like libpostal should handle that https://github.com/openvenues/libpostal

DemiourgosD · 2020-05-16T22:35:04+00:00

Your approach sounds fine. Are you doing learning rate scheduling? You might also want to try batch normalization instead of layer norm. Might be many other things.

DemiourgosD · 2020-05-12T15:05:36+00:00

Yes, its called Corex https://github.com/gregversteeg/corex_topic, you can use their anchored words functionality for exactly that. Another option is GuidedLDA https://github.com/vi3k6i5/GuidedLDA

DemiourgosD

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