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pro vyhledávání: '"Monnet, Nathan"'
Autor:
Monnet, Nathan, Maréchal, Loïc
We introduce a novel approach to text classification by combining doc2vec embeddings with advanced clustering techniques to improve the analysis of specialized, high-dimensional textual data. We integrate unsupervised methods such as Louvain, K-means
Externí odkaz:
http://arxiv.org/abs/2410.11573
Autor:
Maréchal, Loïc, Monnet, Nathan
We use a methodology based on a machine learning algorithm to quantify firms' cyber risks based on their disclosures and a dedicated cyber corpus. The model can identify paragraphs related to determined cyber-threat types and accordingly attribute se
Externí odkaz:
http://arxiv.org/abs/2409.08728
Autor:
Gokmen, Gunes1 (AUTHOR), Vermeulen, Wessel N.2 (AUTHOR), Vézina, Pierre-Louis3 (AUTHOR) pierre-louis.vezina@kcl.ac.uk
Publikováno v:
Journal of Economic Growth. Mar2020, Vol. 25 Issue 1, p87-145. 59p.
