Time series analysis based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in many ways. As described in Ardia et al. (2017) <https://ssrn.com/abstract=3067734>, the package provides a means to model the impact of sentiment in texts on a target variable, by first computing a wide range of textual sentiment measures and then selecting those that are most informative.
| Version: | 0.2 |
| Depends: | R (≥ 3.4.2), data.table, ggplot2, foreach |
| Imports: | utils, stats, quanteda, sentimentr, stringi, zoo, abind, glmnet, caret, compiler, Rcpp (≥ 0.12.13), RcppRoll, ggthemes, ISOweek, MCS |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, e1071, randomForest |
| Published: | 2017-11-13 |
| 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_0.2.tar.gz |
| Windows binaries: | r-devel: sentometrics_0.2.zip, r-release: sentometrics_0.2.zip, r-oldrel: not available |
| OS X El Capitan binaries: | r-release: sentometrics_0.2.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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