Keep rollin'! The abilities for monitoring growing corpora using RollingLDA
Author(s) / Creator(s)
Rieger, Jonas
Abstract / Description
Jonas Rieger (TU Dortmund / Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI), Hamburg) zeigt in seinem englischsprachigen Vortrag die Vorteile einer Modellierung wachsender Textkorpora mittels RollingLDA.
In this talk Jonas Rieger will show the advantages of modeling growing text corpora using RollingLDA and present some example applications, e.g., the uncertainty perception and inflation perception indicators, PsychTopics as well as various change detection and monitoring scenarios. Jonas Rieger is Postdoc at TU Dortmund University (Chair of Business and Social Statistics, Department of Statistics) and at the Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI) in Hamburg. He completed his degree in Statistics in Dortmund in 2016 and worked as a doctoral student and research associate at the chair of Business and Social Statistics at TU Dortmund University until September 2022. His research interests are mainly focused on topic models. They cover the evaluation, model selection and parameter tuning as well as update algorithms for topic models. Besides, he is interested in the identification of changes, events, and narratives in corpora, the exploitation of specific corpora for indices, and content analyses of political text data.
Persistent Identifier
Date of first publication
2024-04-22
Publisher
ZPID (Leibniz Institute for Psychology)
Citation
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06_2022_Topic-Modeling.webmUnknown - 731.27MBMD5: 0ab224245e28f1cca103bc71bfa1e2f5
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There are no other versions of this object.
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Author(s) / Creator(s)Rieger, Jonas
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PsychArchives acquisition timestamp2024-04-22T10:15:28Z
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Made available on2024-04-22T10:15:28Z
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Date of first publication2024-04-22
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Abstract / DescriptionJonas Rieger (TU Dortmund / Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI), Hamburg) zeigt in seinem englischsprachigen Vortrag die Vorteile einer Modellierung wachsender Textkorpora mittels RollingLDA.de_DE
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Abstract / DescriptionIn this talk Jonas Rieger will show the advantages of modeling growing text corpora using RollingLDA and present some example applications, e.g., the uncertainty perception and inflation perception indicators, PsychTopics as well as various change detection and monitoring scenarios. Jonas Rieger is Postdoc at TU Dortmund University (Chair of Business and Social Statistics, Department of Statistics) and at the Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI) in Hamburg. He completed his degree in Statistics in Dortmund in 2016 and worked as a doctoral student and research associate at the chair of Business and Social Statistics at TU Dortmund University until September 2022. His research interests are mainly focused on topic models. They cover the evaluation, model selection and parameter tuning as well as update algorithms for topic models. Besides, he is interested in the identification of changes, events, and narratives in corpora, the exploitation of specific corpora for indices, and content analyses of political text data.en
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Review statusunknown
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External description on another websitehttps://leibniz-psychology.org/en/news/detail/topic-modeling-for-growing-text-corpora-1
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/9902
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.14448
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Language of contenteng
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PublisherZPID (Leibniz Institute for Psychology)
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Is part ofZPID-Kolloquium 2022, Trier, Germany
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Is related tohttps://github.com/JonasRieger/rollinglda
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Is related tohttps://github.com/JonasRieger/upi
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Is related tohttps://github.com/JonasRieger/ipi
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Is related tohttps://github.com/leibniz-psychology/psychtopics
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Dewey Decimal Classification number(s)150
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TitleKeep rollin'! The abilities for monitoring growing corpora using RollingLDAen
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DRO typemovingImage
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DRO typeconferenceObject
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Visible tag(s)ZPID video portal
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Visible tag(s)ZPID Conferences and Workshops