sborms/sentometrics: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
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>.
Getting started
Browse package contents
Package details |
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| 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:
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