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. (2017) <https://ssrn.com/abstract=3067734>.
| Version: | 0.4 |
| Depends: | R (≥ 3.3.0), data.table |
| Imports: | utils, stats, quanteda, stringi, zoo, abind, glmnet, caret, compiler, Rcpp (≥ 0.12.13), RcppRoll, ggthemes, ISOweek, MCS, ggplot2, parallel, foreach, doParallel |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, e1071, randomForest |
| Published: | 2018-05-28 |
| Author: | David Ardia [aut], Keven Bluteau [aut], Samuel Borms [aut, cre], Kris Boudt [aut] |
| Maintainer: | Samuel Borms <samuel.borms at unine.ch> |
| BugReports: | https://github.com/sborms/sentometrics/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/sborms/sentometrics |
| NeedsCompilation: | yes |
| Citation: | sentometrics citation info |
| Materials: | README NEWS |
| CRAN checks: | sentometrics results |
| Reference manual: | sentometrics.pdf |
| Package source: | sentometrics_0.4.tar.gz |
| Windows binaries: | r-devel: sentometrics_0.4.zip, r-release: sentometrics_0.4.zip, r-oldrel: sentometrics_0.4.zip |
| OS X binaries: | r-release: sentometrics_0.4.tgz, r-oldrel: sentometrics_0.3.5.tgz |
| Old sources: | sentometrics archive |
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