A national longitudinal dataset of skills taught in U.S. higher education curricula
By Alireza Javadian Sabet, Sarah H. Bana, Renzhe Yu, Morgan R. Frank
Rating
1203
Battle Count: 84
Relevance
3/10
While not directly applicable to quantitative trading, the methodology for analyzing textual data and mapping to structured taxonomies could be adapted for financial document analysis
Implementation Complexity
7/10
Requires expertise in NLP and machine learning, as well as domain knowledge in education and labor economics
Reproducibility
4/5
Code and dataset are made available, methodology is well-described
About this paper
Methodology: Natural Language Processing. Problem types: Natural Language Processing, Regression.
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