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>.
Package details |
|
---|---|
Maintainer | Samuel Borms <borms_sam@hotmail.com> |
License | GPL (>= 2) |
Version | 1.0.0 |
URL | https://sentometrics-research.com/sentometrics/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.