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	<title>Hub Albert Alcalde</title>
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		<title>Sentiment Analysis with Transformers</title>
		<link>https://dcn.nat.fau.eu/ndw25-sentiment-analysis-with-transformers/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Fri, 14 Nov 2025 12:00:05 +0000</pubDate>
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					<description><![CDATA[Sentiment Analysis with Transformers This post includes an app SentimentAnalysisTransformersApp created for a public outreach activity organized by the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) during the Lange Nacht der Wissenschaften 2025 (Long Night Sciences 2025). Live demo https://albertalcalde.github.io/SentimentAnalysisTransformersApp/ Overview This interactive app lets you type [&#8230;]]]></description>
		
		
		
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		<title>Clustering in pure-attention hardmax transformers and its role in sentiment analysis</title>
		<link>https://dcn.nat.fau.eu/clustering-in-pure-attention-hardmax-transformers-and-its-role-in-sentiment-analysis/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 03 Jul 2024 01:46:03 +0000</pubDate>
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					<description><![CDATA[Clustering in pure-attention hardmax transformers and its role in sentiment analysis This post provides an overview of the results in the paper Clustering in Pure-Attention Hardmax Transformers and its Role in Sentiment Analysis by Albert Alcalde, Giovanni Fantuzzi, and Enrique Zuazua [1]. Codes used to reproduce the simulations can be found at the repository: https://github.com/DCN-FAU-AvH/clustering-hardmax-transformers [&#8230;]]]></description>
		
		
		
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