Title: Code – Dr. Francesco Grossetti
Open Graph Title: Code – Dr. Francesco Grossetti
X Title: Code – Dr. Francesco Grossetti
Open Graph Description: Francesco Grossetti — Assistant Professor of Accounting Analytics and Data Science at Bocconi University. Research on corporate disclosure, tax outcomes, and investor reactions using NLP, machine learning, and computational statistics.
X Description: Francesco Grossetti — Assistant Professor of Accounting Analytics and Data Science at Bocconi University. Research on corporate disclosure, tax outcomes, and investor reactions using NLP, machine learning, and computational statistics.
Mail addresses
francesco.grossetti@unibocconi.it
francesco.grossetti@unibocconi.it
francesco.grossetti@unibocconi.it
Generator: quarto-1.9.38
Domain: contefranz.github.io
| quarto:offset | ./ |
| og:image | https://contefranz.github.io/profile.jpeg |
| og:site_name | Dr. Francesco Grossetti |
| twitter:image | https://contefranz.github.io/profile.jpeg |
| twitter:card | summary_large_image |
Links:
| Dr. Francesco Grossetti | https://contefranz.github.io/index.html |
| About | https://contefranz.github.io/index.html |
| Research | https://contefranz.github.io/publications.html |
| Teaching | https://contefranz.github.io/teaching.html |
| Code | https://contefranz.github.io/code.html |
| https://github.com/contefranz | |
| https://www.linkedin.com/in/francesco-grossetti/ | |
| NLPstudio R NLP topic-modeling featured Scalable, reproducible NLP workflows in R — corpus preparation, dictionaries, readability, similarity, and a consistent topic-model API across backends. Built on… | https://contefranz.github.io/NLPstudio/ |
| OpTop R NLP methods featured Parametric tests to identify the optimal number of topics from a pool of LDA models, plus diagnostics for topic stability and redundancy. Companion code to Lewis & Grossetti… | https://contefranz.github.io/OpTop/ |
| aaiNB R NLP naive-bayes replication Naive Bayes training sets and classifiers for multi-dimensional financial narrative attributes. Companion code and data to Gietzmann, Grossetti & Lewis (2026), *Review of… | https://github.com/contefranz/aaiNB |
| msmtools R biostatistics multi-state survival Augmented longitudinal data and diagnostics for multi-state models fitted with msm — augment(), polish(), survplot(), prevplot(). Stable lifecycle; also… | https://contefranz.github.io/msmtools/ |
| https://github.com/contefranz |
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