On SGX's Voyage to corporate sustainability: Exploring emerging topics in multi-industry corpora
Topic modeling, particularly latent Dirichlet allocation (LDA), is widely recognized as a valuable technique for identifying key topics and trends across dynamic content in various fields. LDA’s strength lies in its ability to efficiently capture emerging themes from large text corpora, making it a...
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| Main Authors: | Ni Xinwen, Lin Min-Bin, Schillebeeckx Simon J. D., Härdle Wolfgang Karl |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-06-01
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| Series: | Management şi Marketing |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/mmcks-2025-0006 |
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