Results 11 to 20 of about 254,803 (193)
Multimodal Topic Labelling [PDF]
Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 2, Short Papers, 2017 © 2017 Association for Computational Linguistics. Topics generated by topic models are typically presented as a list of topic terms. Automatic topic labelling is the task of generating a succinct label that summarises the theme or subject of a topic, with the intention of reducing the cognitive load of end-users when interpreting these topics ...
Ionut Sorodoc +3 more
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Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
IEEE Access, 2021 The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
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Dynamic Automated Labeling System for Real-Time User Intention Analysis
IEEE Access, 2023 Real-time online user responses can be useful for identifying people’s reactions to business strategies or social phenomena. Many approaches have been proposed to classify user responses, yet most of them exploit either manual or automatic ...
Jinju Park, Hayoung Oh
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Journal of Orthopaedic Reports, 2023 Introduction: The present manuscript discusses the basic science of bone fluorescence and the surgical debridement of chronic osteomyelitis under fluorescence-guidance. The fluorescence of bone occurs through a two-fold mechanism: natural fluorescence of
Garrhett G. Via, Jennifer L. Jerele
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Labeled Interactive Topic Models
, 2023 Topic models are valuable for understanding extensive document collections, but they don't always identify the most relevant topics. Classical probabilistic and anchor-based topic models offer interactive versions that allow users to guide the models towards more pertinent topics.
Seelman, Kyle +2 more
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Ilkom Jurnal Ilmiah, 2023 The pros and cons regarding online learning has been a hot topic in society, both on social media and in the real world. Indonesian netizens still post opinions about online learning on social media such as Twitter.
M. Khairul Anam +5 more
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Radio Labeling of Supersub—Division of Path Graphs
IEEE Access, 2023 Motivated by the channel assignment problem, we study the radio labeling of graphs. The radio labeling problem is an important topic in discrete mathematics due to its diverse applications, e.g., frequency assignment in mobile communication systems ...
Baskar Mari, Ravi Sankar Jeyaraj
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The Polylingual Labeled Topic Model [PDF]
, 2015 Accepted for publication at KI 2015 (38th edition of the German Conference on Artificial Intelligence)
Posch, Lisa +3 more
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Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014 [PDF]
, 2018 Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents. Most topic models use unsupervised methods and hence require the additional step of attaching meaningful ...
Herzog, Alexander +2 more
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Transfer learning for topic labeling: Analysis of the UK House of Commons speeches 1935–2014
Research & Politics, 2021 Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents. Most topic models require the additional step of attaching meaningful labels to estimated topics, a process ...
Hannah Béchara +3 more
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