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#topicmodeling

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Mareike König<p>Interesse an <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TopicModeling</span></a> für historische Fachzeitschriften? Eike Löhden &amp; ich haben 50 Jahrgänge der „Francia“ analysiert. </p><p>Wie haben sich Schwerpunkte über die Jahre entwickelt? Welche Unterschiede zeigen sich zwischen deutsch- und französischsprachigen Beiträgen? Und auch: Was bringt die Methode, wo liegen ihre Grenzen? </p><p>Bitte hier entlang =&gt; <a href="https://doi.org/10.11588/fr.2023.1.107944" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.11588/fr.2023.1.107</span><span class="invisible">944</span></a> </p><p><a href="https://fedihum.org/tags/DigitalHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHistory</span></a> <a href="https://fedihum.org/tags/Geschichtswissenschaft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geschichtswissenschaft</span></a> <a href="https://fedihum.org/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAccess</span></a> <a href="https://fedihum.org/tags/histodons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>histodons</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Addendum 2</p><p>Comments: article placed here due to<br>1. use of prompt engineering + chain of thought (mentioned above)<br>2. application to long documents (here, applied to legal domain, but broadly applicable)<br>3. novelty</p><p>Large Language Model Prompt Chaining for Long Legal Document Classification<br><a href="https://arxiv.org/abs/2308.04138" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2308.04138</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.social/tags/PromptEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PromptEngineering</span></a> <a href="https://mastodon.social/tags/ChainOfThought" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChainOfThought</span></a> <a href="https://mastodon.social/tags/reasoning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reasoning</span></a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://mastodon.social/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://mastodon.social/tags/semantics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semantics</span></a> <a href="https://mastodon.social/tags/PromptChaining" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PromptChaining</span></a> <a href="https://mastodon.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TopicModeling</span></a> <a href="https://mastodon.social/tags/SCOTUS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SCOTUS</span></a></p>
Melanie Althage<p><a href="https://fedihum.org/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>introduction</span></a> </p><p>Hey there! :) </p><p>I'm a PhD student &amp; <a href="https://fedihum.org/tags/histodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>histodon</span></a> in <a href="https://fedihum.org/tags/DigitalHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHistory</span></a>. My research focuses on the method-critical investigation of the applicability of text analysis techniques such as <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TopicModeling</span></a> &amp; <a href="https://fedihum.org/tags/NER" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NER</span></a> for historical sources &amp; research questions, including the methodological &amp; epistemological consequences of these methods for the process of historical knowledge production. </p><p>Also interested in: <br>- use &amp; critique of born-digital data <br>- historical scholarly communication<br>- <a href="https://fedihum.org/tags/coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>coding</span></a></p>
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