On large-scale dynamic topic modeling with nonnegative CP tensor decomposition

DOI10.1007/978-3-030-79891-8_8zbMath1483.94023arXiv2001.00631OpenAlexW2998704457MaRDI QIDQ2072587

Elena Sizikova, Deanna Needell, R. W. M. A. Madushani, Kathryn Leonard, Lara Kassab, Alona Kryshchenko, Miju Ahn, Nicole Eikmeier, Chuntian Wang, Jamie Haddock

Publication date: 26 January 2022

Full work available at URL: https://arxiv.org/abs/2001.00631

zbMATH Keywords

large-scale temporal data analysismethod of nonnegative tensor decomposition

Mathematics Subject Classification ID

Informational aspects of data analysis and big data (94A16)

Uses Software

• Scikit
• Tensorlab

Cites Work

• Tensor Decompositions and Applications
• Algorithms and applications for approximate nonnegative matrix factorization
• Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
• A very brief introduction to nonnegative tensors from the geometric viewpoint
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL
• Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
• Learning the parts of objects by non-negative matrix factorization
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