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#topicmodeling

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Erik Renz<p>Als letztes im Juni begrüßen wir morgen in der Reihe <a href="https://fedihum.org/tags/DH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DH</span></a> im Fokus Martina Scholger von der <a href="https://fedihum.org/tags/UniGraz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UniGraz</span></a>. Im Vortrag "Auf explorativen Pfaden durch digitale <a href="https://fedihum.org/tags/briefeditionen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>briefeditionen</span></a>" nimmt sie uns mit auf Entdeckungstour und zeigt, wie sich Briefkorpora mit Promptotyping, <a href="https://fedihum.org/tags/Networkanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Networkanalysis</span></a>, <a href="https://fedihum.org/tags/Topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Topicmodeling</span></a> und Co. neu erschließen lassen – stets im Sinne der <a href="https://fedihum.org/tags/FAIR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIR</span></a>‑Prinzipien. Mehr dazu und den Zoom‑Link findet ihr hier:</p><p><a href="https://www.germanistik.uni-rostock.de/forschung/digital-humanities/rosdh/ringvorlesung/sose-2025/n/auf-explorativen-pfaden-durch-digitale-briefeditionen-232719/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">germanistik.uni-rostock.de/for</span><span class="invisible">schung/digital-humanities/rosdh/ringvorlesung/sose-2025/n/auf-explorativen-pfaden-durch-digitale-briefeditionen-232719/</span></a></p><p><a href="https://fedihum.org/tags/RosDH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RosDH</span></a> <a href="https://fedihum.org/tags/UniRostock" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UniRostock</span></a> <a href="https://fedihum.org/tags/DigitalEdition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalEdition</span></a> <a href="https://fedihum.org/tags/Correspondence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Correspondence</span></a> ✉️</p>
Christoph Schindler<p>We present &amp; discuss the new beta <a href="https://eduresearch.social/tags/EduTopics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EduTopics</span></a> app ( <a href="https://dipf-lis.shinyapps.io/EduTopicsECER/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dipf-lis.shinyapps.io/EduTopic</span><span class="invisible">sECER/</span></a>) at the Workshops »Text Mining in der Erziehungswissenschaft« (<span class="h-card" translate="no"><a href="https://eduresearch.social/@bbf_dipfberlin" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>bbf_dipfberlin</span></a></span> <span class="h-card" translate="no"><a href="https://eduresearch.social/@dipf_aktuell" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>dipf_aktuell</span></a></span>) which allows you to interactively analyze more than 30,000 <a href="https://eduresearch.social/tags/ECER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ECER</span></a> conference abstracts <span class="h-card" translate="no"><a href="https://eduresearch.social/@FachportalPaedagogik" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>FachportalPaedagogik</span></a></span> <a href="https://eduresearch.social/tags/EduSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EduSci</span></a> <a href="https://eduresearch.social/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlp</span></a> <a href="https://eduresearch.social/tags/eduresearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eduresearch</span></a> <span class="h-card" translate="no"><a href="https://eduresearch.social/@alexchrist" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>alexchrist</span></a></span> <span class="h-card" translate="no"><a href="https://eduresearch.social/@j_roeschlein" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>j_roeschlein</span></a></span> <a href="https://eduresearch.social/tags/EERA_NW12" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EERA_NW12</span></a> <a href="https://eduresearch.social/tags/OpenResearchInEducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenResearchInEducation</span></a> <a href="https://eduresearch.social/tags/EduSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EduSci</span></a> <a href="https://eduresearch.social/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openscience</span></a> <a href="https://eduresearch.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a></p>
Svenja Guhr<p>Based on an analysis of <a href="https://fedihum.org/tags/DHd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DHd</span></a> conference abstracts, I trace the evolution of <a href="https://fedihum.org/tags/CLS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CLS</span></a> methods from 2014 to 2025: from omnipresent <a href="https://fedihum.org/tags/NetworkAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetworkAnalysis</span></a> and <a href="https://fedihum.org/tags/Annotation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Annotation</span></a>, to the first appearance of <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> and <a href="https://fedihum.org/tags/SentimentAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SentimentAnalysis</span></a>, to <a href="https://fedihum.org/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> and <a href="https://fedihum.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a>.</p>
Christof Schöch<p>Full program today at <a href="https://fedihum.org/tags/TSU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TSU</span></a> in <a href="https://fedihum.org/tags/Tbilisi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tbilisi</span></a>, talking about Digital Humanities, Computational Literary Studies and Mining and Modeling Text. And doing some topic modeling together on a Georgian 19th-century press corpus. I can't really tell myself but the participants liked the results!</p><p><a href="https://fedihum.org/tags/CLS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CLS</span></a> <a href="https://fedihum.org/tags/MiMoText" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MiMoText</span></a> <a href="https://fedihum.org/tags/LOD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LOD</span></a> <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> <a href="https://fedihum.org/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHumanities</span></a></p>
Mareike König<p>Interesse an <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" 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" 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" target="_blank">#<span>DigitalHistory</span></a> <a href="https://fedihum.org/tags/Geschichtswissenschaft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Geschichtswissenschaft</span></a> <a href="https://fedihum.org/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAccess</span></a> <a href="https://fedihum.org/tags/histodons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histodons</span></a></p>
Staatsbibliothek zu Berlin<p>Digital Humanities zum Ausprobieren beim <a href="https://openbiblio.social/tags/ToolTuesday" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ToolTuesday</span></a>! 🔧 Diese Mal: Topic Modeling, heute, den 4. Februar, ab 13:30 Uhr 👉 <a href="http://sbb.berlin/v245l" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">sbb.berlin/v245l</span><span class="invisible"></span></a><br><a href="https://openbiblio.social/tags/StabiBerlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StabiBerlin</span></a> <a href="https://openbiblio.social/tags/digitalhumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>digitalhumanities</span></a> <a href="https://openbiblio.social/tags/Digitalisierung" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Digitalisierung</span></a> <a href="https://openbiblio.social/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a></p>
Christoph Schindler<p>Our <a href="https://eduresearch.social/tags/EduTopics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EduTopics</span></a> app (<a href="https://dipf-lis.shinyapps.io/EduTopicsECER/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dipf-lis.shinyapps.io/EduTopic</span><span class="invisible">sECER/</span></a>) allows you to interactively analyze more than 30,000 <a href="https://eduresearch.social/tags/ECER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ECER</span></a> conference papers. In the <span class="h-card" translate="no"><a href="https://bildung.social/@EERA" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>EERA</span></a></span> blog, we explain what it's all about and what insights are possible with <a href="https://eduresearch.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> (<a href="https://blog.eera-ecer.de/edutopics-ecer-app/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.eera-ecer.de/edutopics-ec</span><span class="invisible">er-app/</span></a>). <a href="https://eduresearch.social/tags/EERA_NW12" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EERA_NW12</span></a> <a href="https://eduresearch.social/tags/OpenResearchInEducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenResearchInEducation</span></a> <a href="https://eduresearch.social/tags/EduSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EduSci</span></a> <a href="https://eduresearch.social/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openscience</span></a></p>
Christof Schöch<p>First up in our session on "Crossing Borders, Building Meaning: Exploring the Dynamics of Knowledge Transmission and Trust in Digital Humanities" at <a href="https://fedihum.org/tags/DH2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DH2024</span></a>: Mengyuan Zhou speaking about "Building Bridges or Walls? Topic Modeling for Analyzing Trust in Indirect Literary Translation". </p><p>The author used zero-shot BERTopic Modeling with pre-defined topic labels. </p><p><a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> <a href="https://fedihum.org/tags/Translation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Translation</span></a> <a href="https://fedihum.org/tags/Literature" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Literature</span></a> <a href="https://fedihum.org/tags/CLS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CLS</span></a> <a href="https://fedihum.org/tags/BERTopics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BERTopics</span></a></p>
ZfdG<p>Wie funktioniert das Zusammenspiel von Topic Modeling und manueller Annotation bei der Erschließung umfangreicher qualitativer Forschungsdaten? Dieser Frage geht der neueste ZfdG-Artikel in einem experimentellen Setting nach: <a href="https://zfdg.de/2024_003" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zfdg.de/2024_003</span><span class="invisible"></span></a></p><p>»Mensch und Maschine als Team. Exploratives Topic Modeling und manuelle Annotation in der qualitativen Sozialforschung« von Lina Franken und Dennis Möbus<br><a href="https://fedihum.org/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a> <a href="https://fedihum.org/tags/dh" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dh</span></a> <a href="https://fedihum.org/tags/digitalhumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>digitalhumanities</span></a> <a href="https://fedihum.org/tags/qualitativeforschung" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>qualitativeforschung</span></a> <a href="https://fedihum.org/tags/kulturwissenschaft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kulturwissenschaft</span></a> <a href="https://fedihum.org/tags/oralhistory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>oralhistory</span></a></p>
Susan Borda<p>Does anyone have experience with Topic Modeling with Python? We have someone in the DPC-BCC Python Study group who looking for some advice. <a href="https://digipres.club/tags/digipres" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>digipres</span></a> <a href="https://digipres.club/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://digipres.club/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a></p>
Digital History Berlin<p>📢 Nach dem Semester ist vor dem Semester: </p><p>Auch im kommenden Sommersemester bietet das Lehrangebot der <a href="https://fedihum.org/tags/DigitalHistory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHistory</span></a> an der HU Berlin wieder ein reichhaltiges Kursprogramm: </p><p>Von Vertiefungskursen zu <a href="https://fedihum.org/tags/DataLiteracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataLiteracy</span></a> sowie zum Programmieren mit <a href="https://fedihum.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> über gleichermaßen praxis- wie theorieorientierte Einführungen in <a href="https://fedihum.org/tags/SentimentAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SentimentAnalysis</span></a> &amp; <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> bis hin zu historischen Grundwissenschaften &amp; Bibliotheken im Kontext der <a href="https://fedihum.org/tags/digiGW" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>digiGW</span></a> - da ist für jede:n was dabei!</p><p>ℹ️ <a href="https://hu.berlin/DigHisLehreSoSe24" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hu.berlin/DigHisLehreSoSe24</span><span class="invisible"></span></a></p>
Quinn Dombrowski<p>We are so, so close to publishing the next <a href="https://mstdn.social/tags/DataSittersClub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSittersClub</span></a> book, I have to share the cover. <span class="h-card" translate="no"><a href="https://dair-community.social/@xandaschofield" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>xandaschofield</span></a></span> helps us get to the bottom of topic models in "DSC 20: Xanda Rescues the Topic Modeling Disaster"! <a href="https://mstdn.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> <a href="https://mstdn.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHumanities</span></a></p>
Quinn Dombrowski<p>Reading through the next <a href="https://mstdn.social/tags/DataSittersClub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSittersClub</span></a> draft on <a href="https://mstdn.social/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a> with the delightful <span class="h-card" translate="no"><a href="https://dair-community.social/@xandaschofield" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>xandaschofield</span></a></span> , and I think you all are going to be in for a real Thanksgiving treat. This is the piece that I wish I'd read as a first encounter with topic models.</p>
Digital History Berlin<p>Wie können wir mit digitalen Methoden preußische Verwaltungsdiskurse des 19. Jahrhunderts erschließen? 🔍 </p><p>Felix Selgert &amp; Alexander Ermakov zeigen in ihrem <a href="https://fedihum.org/tags/DigHis23" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigHis23</span></a>-Paper anhand verschiedener <a href="https://fedihum.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a>-Algorithmen, wie die Verfahren zur Quellenerschließung und -analyse eingesetzt werden können.</p><p>🗞️ Zum Paper: <a href="https://doi.org/10.5281/zenodo.8428178" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.5281/zenodo.8428178</span><span class="invisible"></span></a></p><p>____<br><a href="https://fedihum.org/tags/DigitalHistory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHistory</span></a> <a href="https://fedihum.org/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHumanities</span></a> <a href="https://fedihum.org/tags/histodons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histodons</span></a> <a href="https://fedihum.org/tags/TextMining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TextMining</span></a></p>
Gideon Wetzel<p>Wir zeigen im neuen <a href="https://lediver.se/tags/DigitalReport" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalReport</span></a> aktuelle, thematische Verschiebungen in den sächsischen <a href="https://lediver.se/tags/Telegram" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Telegram</span></a> Kanälen und Gruppen auf. Dazu verwenden wir <a href="https://lediver.se/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> um inhaltich ähnliche Nachrichten herauszufiltern. Eine qualitative Analyse gibt Aufschluss über die aktuellen Themen. <span class="h-card"><a href="https://troet.cafe/@amadeuantonio" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>amadeuantonio</span></a></span></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" 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" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.social/tags/PromptEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PromptEngineering</span></a> <a href="https://mastodon.social/tags/ChainOfThought" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChainOfThought</span></a> <a href="https://mastodon.social/tags/reasoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reasoning</span></a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://mastodon.social/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://mastodon.social/tags/semantics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>semantics</span></a> <a href="https://mastodon.social/tags/PromptChaining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PromptChaining</span></a> <a href="https://mastodon.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> <a href="https://mastodon.social/tags/SCOTUS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SCOTUS</span></a></p>
André Bittermann<p>www.PsychTopics.org, our <a href="https://fediscience.org/tags/ShinyApp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ShinyApp</span></a> for research trends in <a href="https://fediscience.org/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> from the German-speaking countries, now features term highlighting in the topic evolution section. This way, you can easily track how the content of topics changes over time.</p><p><a href="https://fediscience.org/tags/shiny" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>shiny</span></a> <a href="https://fediscience.org/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a></p>
mark<p>Tutorial for selecting the number and labels of topics in topic modeling: <a href="https://journals.sagepub.com/doi/full/10.1177/25152459231160105" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/full/</span><span class="invisible">10.1177/25152459231160105</span></a></p><p><a href="https://sciences.social/tags/researchmethods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>researchmethods</span></a> <a href="https://sciences.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://sciences.social/tags/topicmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topicmodeling</span></a> <a href="https://sciences.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://sciences.social/tags/psych" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psych</span></a> <a href="https://sciences.social/tags/newpsychresearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>newpsychresearch</span></a> <a href="https://sciences.social/tags/socpsych" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>socpsych</span></a> <a href="https://sciences.social/tags/personaliy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>personaliy</span></a> <a href="https://sciences.social/tags/methods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methods</span></a></p>
André Bittermann<p>If you are interested in how to apply <a href="https://fediscience.org/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> to continuously growing corpora, have a look at this talk by <span class="h-card"><a href="https://ruhr.social/@rieger" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>rieger</span></a></span> he gave last year in our lecture series:</p><p><a href="https://zpid.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=03addb74-2f86-4ed0-b877-af9c00a2959d" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">zpid.cloud.panopto.eu/Panopto/</span><span class="invisible">Pages/Viewer.aspx?id=03addb74-2f86-4ed0-b877-af9c00a2959d</span></a></p><p>He shows the advantages of modeling growing text corpora using RollingLDA and presents some example applications, e.g., the uncertainty perception and inflation perception indicators, PsychTopics as well as various change detection and monitoring scenarios.</p><p><a href="https://fediscience.org/tags/TextAsData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TextAsData</span></a></p>
Quinn Dombrowski<p><span class="h-card"><a href="https://dair-community.social/@xandaschofield" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>xandaschofield</span></a></span> student collaborator got a genuine <a href="https://mstdn.social/tags/DataSittersClub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSittersClub</span></a> meeting experience as we meandered from <a href="https://mstdn.social/tags/TopicModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopicModeling</span></a> to the challenges of interdisciplinary work to the fact that you're kidding yourself if you think <a href="https://mstdn.social/tags/academia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>academia</span></a> is mostly you and your code or books or archives-- the whole thing is people, with all the mess that comes with it. I'm super excited about this book, though, I've already learned a ton. <a href="https://mstdn.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHumanities</span></a></p>
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