(( Ankur Lakhanpal
3K posts

(( Ankur Lakhanpal
@ankur0209
Organic Growth | Technical & E-Commerce SEO | Python | Optimist & Enthusiast, Avid Learner | (he/him)
New Zealand Katılım Şubat 2011
478 Takip Edilen310 Takipçiler

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This is very cool and I will try it, but I advise against fixing the number of clusters* and letting the model come up with its own arbitrary number based on a tweakable threshold. In the screenshot you can see how I do it. The value of 4.5 gave me precisely 8 product categories and bundled rugs with cotton in this dataset which is annoying, so my next step is to reduce that down to 4.25 or so and measure output. Once I have the sweet spot I apply across the entire dataset and then run a dendrogram which terminates at cluster level instead of URLs (otherwise chaos) and that gives a beautifully intuitive overview of implicit IA.
*cluster_model = AgglomerativeClustering(n_clusters=50)

Flor.@FlorianKluge
@dejanseo Have you tried BERTopic? #agglomerative-clustering" target="_blank" rel="nofollow noopener">maartengr.github.io/BERTopic/getti…
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Looking for an in-house SEO who is in a middle of a link clean-up or worried about their link profile in general and needs a little help.
A link spam component of LinkBERT framework is now open for testing with a limited number of users who can now enter a URL to analyse for obvious paid links in guest posts.
Note: We already have quite a few link builders, agency and freelance SEO people testing the tool but still looking to receive feedback from in-house SEOs.



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