Progressive Learning of Topic Modeling Parameters : A Visual Analytics Framework
Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, tackling the understandability and adaptability of topic models through a user-dr...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 24(2018), 1 vom: 15. Jan., Seite 382-391
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| Auteur principal: |
El-Assady, Mennatallah
(Auteur) |
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| Autres auteurs: |
Sevastjanova, Rita,
Sperrle, Fabian,
Keim, Daniel,
Collins, Christopher |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2018
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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