This open access book discusses the statistical modeling of insurance problems, a process
which comprises data collection, data analysis and statistical model building to forecast …

Natural language processing (NLP) is a subfield of computer science and linguistics. NLP
involves the creation and study of computer programs that interact with human language …

This paper demonstrates workflows to incorporate text data into actuarial classification and
regression tasks. The main focus is on methods employing transformer-based models. A …

Recent technological advancements have changed significantly the way news is produced,
consumed, and disseminated. Frequent and on-spot news reporting has been enabled …

Reminiscence is the act of recalling or telling others about relevant personal past
experiences. It is an important activity for all individuals, young and old alike. In fact …

Media bias can significantly impact the formation and development of opinions and
sentiments in a population. It is thus important to study the emergence and development of …

This working paper aims at providing a structured and accessible introduction to the topic of
interpretable machine learning. We start with an overview of the research literature and we …

Handling nominal covariates with a large number of categories is challenging for both
statistical and machine learning techniques. This problem is further exacerbated when the …

The purpose of this tutorial is to discuss the LocalGLMnet architecture which is tailored to the
needs of actuaries. The LocalGLMnet is a flexible network architecture for tabular data that …

This study aims to evaluate the effectiveness of the Chi-Square feature selection method in
improving the classification accuracy of linear Support Vector Machine, K-Nearest …