Dynamic Topic Modeling with Tensor Decomposition as a Tool to Explore the Legal Precedent Relevance Over Time
Author:
Affiliation:
1. PUC-Rio, Rio de Janeiro, RJ, Brazil
2. FGV Direito Rio, PUC-Rio, Rio de Janeiro, RJ, Brazil
Funder
Fundação Getulio Vargas
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ð Brasil (CAPES)
Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3573128.3604899
Reference26 articles.
1. Miju Ahn , Nicole Eikmeier , Jamie Haddock , Lara Kassab , Alona Kryshchenko , Kathryn Leonard , Deanna Needell , R. W. M. A. Madushani , Elena Sizikova , and Chuntian Wang . 2021. On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. Advances in Data Science ( 2021 ), 181--210. https://doi.org/10.1007/978-3-030-79891-8_8 10.1007/978-3-030-79891-8_8 Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, and Chuntian Wang. 2021. On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. Advances in Data Science (2021), 181--210. https://doi.org/10.1007/978-3-030-79891-8_8
2. Guilherme Franca Couto Fernandes Almeida and Danilo Santos Almeida. 2020. Presidência do STF em números: de Gracie a Toffoli. (2020). http://dx.doi.org/10.2139/ssrn.3686813 10.2139/ssrn.3686813
3. Guilherme Franca Couto Fernandes Almeida and Danilo Santos Almeida. 2020. Presidência do STF em números: de Gracie a Toffoli. (2020). http://dx.doi.org/10.2139/ssrn.3686813
4. What topic modeling could reveal about the evolution of economics
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1. Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales;Frontiers in Applied Mathematics and Statistics;2024-07-22
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