Unlocking Insights into Business Trajectories with Transformer-based Spatio-temporal Data Analysis
Muhammad Arslan, Christophe Cruz
TL;DR
This paper introduces a transformer-based approach to analyze business trajectories through news articles, enabling better understanding of market trends and performance over time.
Contribution
It presents a novel transformer-based method for modeling business trajectories using unstructured news data, enhancing insights into market dynamics.
Findings
Effective modeling of business trajectories from news articles
Improved understanding of market trends over time
Transformer-based approach outperforms traditional methods
Abstract
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.
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Taxonomy
TopicsComplex Network Analysis Techniques