ACTUARIAL APPLICATIONS OF WORD EMBEDDING MODELS

DOI10.1017/ASB.2019.28zbMath1431.91337OpenAlexW2981363087MaRDI QIDQ5213436

Gee Y. Lee, Scott Manski, Tapabrata Maiti

Publication date: 3 February 2020

Published in: ASTIN Bulletin (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/asb.2019.28

zbMATH Keywords

word2vecclassificationtext mininglogistic regressionrisk mitigationgeneralized additive modelsword similarityloss modelingword embeddingactuarial modelinggloveinsurance claims adjustment

Mathematics Subject Classification ID

Actuarial mathematics (91G05)

Related Items (6)

The balance property in neural network modelling ⋮ Loss amount prediction from textual data using a double GLM with shrinkage and selection ⋮ Non-Life Insurance Risk Classification Using Categorical Embedding ⋮ BERT-based NLP techniques for classification and severity modeling in basic warranty data study ⋮ Leveraging high-resolution weather information to predict hail damage claims: a spatial point process for replicated point patterns ⋮ The use of autoencoders for training neural networks with mixed categorical and numerical features

Uses Software

• ElemStatLearn
• gamair
• word2vec
• GloVe

Cites Work

• Regression Modeling with Actuarial and Financial Applications
• On p-values for smooth components of an extended generalized additive model
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