Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2021) <doi:10.18637/jss.v099.i02>.
|Author||Samuel Borms [aut, cre] (<https://orcid.org/0000-0001-9533-1870>), David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Keven Bluteau [aut] (<https://orcid.org/0000-0003-2990-4807>), Kris Boudt [aut] (<https://orcid.org/0000-0002-1000-5142>), Jeroen Van Pelt [ctb], Andres Algaba [ctb]|
|Maintainer||Samuel Borms <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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