<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BERTopic |</title><link>https://anderslaverdemarin.org/tags/bertopic/</link><atom:link href="https://anderslaverdemarin.org/tags/bertopic/index.xml" rel="self" type="application/rss+xml"/><description>BERTopic</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 19 May 2026 09:00:00 +0000</lastBuildDate><image><url>https://anderslaverdemarin.org/media/icon_hu_fb558a5ed99f547e.png</url><title>BERTopic</title><link>https://anderslaverdemarin.org/tags/bertopic/</link></image><item><title>LLMs as a Reader: Extracting Topics from Text</title><link>https://anderslaverdemarin.org/events/llm-topic-extraction/</link><pubDate>Tue, 19 May 2026 09:00:00 +0000</pubDate><guid>https://anderslaverdemarin.org/events/llm-topic-extraction/</guid><description>&lt;p&gt;The slides below are rendered with
and embedded directly
from their own deployment. Use the arrow keys (or on-screen controls) to navigate, or
.&lt;/p&gt;
&lt;div style="position: relative; width: 100%; padding-top: 56.25%; margin: 1.5rem 0; border-radius: 8px; overflow: hidden; box-shadow: 0 4px 16px rgba(0,0,0,0.15);"&gt;
&lt;iframe src="https://andreslaverdemarin.github.io/llm-topic-extraction/" title="LLM Topic Extraction — Slidev deck" loading="lazy" allowfullscreen
style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;"&gt;&lt;/iframe&gt;
&lt;/div&gt;</description></item></channel></rss>