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- W3147489320 abstract "This paper describes the current state of natural language processing (NLP) as it applies to corporate reporting. We document dramatic increases in the quantity of verbal content that are an integral part of company reporting packages as well as the evolution of text analytic approaches that are being employed to analyse this content. We provide intuitive descriptions of the leading analytic approaches that are applied in the academic accounting and finance literatures. This discussion includes key word searches and counts, attribute dictionaries, naive Bayesian classification, cosine similarity, and latent Dirichlet allocation. We also discuss how increasing interest in NLP processing of the corporate reporting package could and should influence financial reporting regulation and note that textual analysis is currently is more of an afterthought, if it is even considered. Opportunities for improving the usefulness of NLP processing are discussed as well as possible impediments." @default.
- W3147489320 created "2021-04-13" @default.
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- W3147489320 date "2018-12-31" @default.
- W3147489320 modified "2023-09-28" @default.
- W3147489320 title "Fad or Future?: Automated Analysis of Financial Text and Its Implications for Corporate Reporting" @default.
- W3147489320 hasPublicationYear "2018" @default.
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