Unlocking Insights into Business Trajectories with Transformer-based Spatio-temporal Data Analysis
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Abstract (arXiv)
The world of business is constantly evolving and staying ahead of the curve requires a deep understanding of market trends and performance. This article addresses this requirement by modeling business trajectories using news articles data.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 18 references that are in the map. First posted on arXiv 7 Jun 2023.
Builds on
4 of 18 references.
References · 4
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2019Text Classification Algorithms: A Surveycited by 163
- 2021Query2Label: A Simple Transformer Way to Multi-Label Classificationcited by 128
- 2021More Identifiable yet Equally Performant Transformers for Text Classificationcited by 3
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