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. (2020) <doi:10.2139/ssrn.3067734>.
|Maintainer||Samuel Borms <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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