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.
- Version1.0.0
- R version≥ 3.3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- sentometrics citation info
- Last release08/18/2021
Documentation
Team
Samuel Borms
David Ardia
Show author detailsRolesAuthorKeven Bluteau
Show author detailsRolesAuthorKris Boudt
Show author detailsRolesAuthorJeroen Van Pelt
Show author detailsRolesContributorAndres Algaba
Show author detailsRolesContributor
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- Imports11 packages
- Suggests10 packages
- Linking To3 packages
- Reverse Suggests1 package