Top Tweets for #TopicModel
it will soon be available in journal version, but here's the preprint!
it's a #bibliometric analysis of #transparency literature, mixed with a #topicmodel approach in order to identify trends in the sampled works
it also criticizes the structures of knowledge production
#SocArXiv: The Many Ways to Transparency: A Typology of Topics and Varieties in the Transparency Literature https://t.co/GnsQ1jc0eA
Nice to see our recent work published in its final form @CellGenomics. Excited to work on more
#topicmodel for #singlecell #CancerResearch
Unraveling dynamically encoded latent transcriptomic patterns in pancreatic cancer cells by topic modeling https://t.co/SrIv4YueFN
@knime @FVillarroelO @AngusVeitch You can try the #KNIME Topic Explorer View component directly in your web browser as a #DataApp.
In this case the view is executed on the output of an LDA #TopicModel on the 'CMU 2008 Political Blog Corpus'
Excited to share our #ACL2023NLP paper which proposes a novel dynamic Brand-Topic Model, tracking brand scores and polarity-bearing topics over time. Join us at Poster Session 1. @yan_hanqi @yulanhe #NLProc #sentimentanalysis #TopicModel
https://t.co/NCPRzAY4Xv.
For those interested in computational social science, this study by Miner et al. provides valuable insights on tradeoffs between topic models and human-generated coding in the context of workplace discrimination among physician mothers ➡️ https://t.co/oMzNQpEhED #topicmodel #NLP
🟡 Spotlight from #AAAI23: On Saturday, #Lamarr's Kostadin Cvejoski (@FraunhoferIAIS) highlighted work on a novel neural approach to the dynamic focused #TopicModel that outperforms state-of-the-art models in generalization tasks & converges two times faster in prediction tasks.
Exciting new paper by Miner and colleagues formally compares topic models to human-generated qualitative coding in the context of physician mothers' experiences of workplace discrimination. Check it out: https://t.co/oMzNQpEhED #topicmodel #NLP #qualitative
🚨New pub alert🚨 Excited to share this article on Topic Modeling! So lucky to have the chance to participate in this excellent project and collaborate with @l_lululy , Sei-Hill Kim, and Chang Won Choi! #topicmodel #CSS
New publication with @zhaomaevepeng Sei-Hill Kim, and Chang Won Choi! What we can do and cannot do with topic modeling? We did a systematic review https://t.co/AUVTU6L2qO
New paper: Victor Bystrov, Viktoriia Naboka, Anna Staszewska-Bystrova und Peter Winker on "Cross-Corpora Comparisons of Topics and Topic Trends" #topicmodel #textanalysis
https://t.co/NN0JUzHOxt
To all those interested in LDA evaluation - in this case reliability - I would like to recommend our recent preprint https://t.co/snrhq8nZgO, which is under review at KAIS, and on which I will give a presentation at #DAGStat in Hamburg on 03/31/2022. #NLP #NLProc #topicmodel
Et j'ai cherché des #thématiques, les préoccupations des Français que vous avez perçu. Pour l'instant j'en ai 20, mais je peux raffiner. C'est un simple #topicmodel construit sur les #nouns
A #topicmodel for all 1.8M #Wikipedia biographies made with @DanaraSarioglu. End goal was to isolate the visual arts articles to see impact of @artandfeminism @BLACKLUNCHTABLE @wikiwomeninred @afroCROWDit etc on the gaps in content.
https://t.co/MyS5vLBC54
Gerade veröffentlicht das #CorpusExplorer 2021Q4-Update. Was ist Neu? - Es gibt jetzt ein #LDA #TopicModel basierend auf der Weiterentwicklung #LightLDA
https://t.co/J21E00wviD
Außerdem: Kleinere Korrekturen
Great team work, but especially Yuan Jin and He Zhao for "Neural Attention-Aware Hierarchical Topic Model"
Y. Jin, H. Zhao, M. Liu, L. Du, W. Buntine accepted at #EMNLP2021. Mixing #TopicModel and #LanguageModel a bit more deeply than usual. #EMNLP2021 #DeepLearning
Missed our finding on topic models evaluation @ranlp2021 ? You can still look at our slides and ask us questions here!
https://t.co/sBX1enuxVf
#nlp #topicModel @rtroncy @harrrando
In recent experiments, we discovered that several elements have an impact on #topicModel evaluation: the pre-proc, n of topics, even the seed. We will present our work "Apples to Apples: A Systematic Evaluation of Topic Models" this Friday at @ranlp2021 . @rtroncy @harrrando
New paper🚨 Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis by Martin Schweinberger, Michael Haugh & Sam Hames. Read more here: https://t.co/sZ9tVdPWhp #coronavirus #machinelearning #textmining #topicmodel
My #rstats #topicmodel of 600,000 tweets, 13hrs on my Mac Mini. Now I have 800,000 tweets, so I'm experimenting with random selections instead of the whole corpus. I love how the {stm} 📦 lets me include covariates, in the case, time, so I can see topics emerge over time:
Tightening up my #TopicModel with #LatentDirichletAllocation unearthing all kinds of relationships from the corpus. The probability of word to topic / document to topic tables are my preoccupation at this moment. Unpacking #CentralBank #Policy #Statements 🤖#MachineLearning 😎
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