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)
- https://sentometrics-research.com/sentometrics/
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- sentometrics results
- sentometrics.pdf
- 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
Keven Bluteau
Kris Boudt
Jeroen Van Pelt
Show author detailsRolesContributorAndres Algaba
Show author detailsRolesContributor
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- Depends1 package
- Imports14 packages
- Suggests11 packages
- Linking To3 packages
- Reverse Suggests1 package