GraphTMT: unsupervised graph-based topic modeling from video transcripts

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: IEEE Seventh International Conference on Multimedia Big Data (BigMM 2021), 15-17 November 2021, Taichung, Taiwan, S. 1-8

Event: Veröffentlichung

(where): Augsburg, New York, NY

(who): Universität Augsburg, IEEE

(when): 2021

Creator: Thies, Jason
Stappen, Lukas
Hagerer, Gerhard
Schuller, Björn
Groh, Georg

Contributor: Bulterman, Dick
Liao, Mark
Sheu, Philip
Ng, Ka-Lok

DOI: 10.1109/bigmm52142.2021.00009

URN: urn:nbn:de:bvb:384-opus4-914817

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:54 PM CET

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Associated

Thies, Jason
Stappen, Lukas
Hagerer, Gerhard
Schuller, Björn
Groh, Georg
Bulterman, Dick
Liao, Mark
Sheu, Philip
Ng, Ka-Lok
Universität Augsburg, IEEE

Time of origin

2021

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GraphTMT: unsupervised graph-based topic modeling from video transcripts

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Time of origin

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