sentometrics (0.5.6)

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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. (2018) .

Maintainer: Samuel Borms
Author(s): David Ardia [aut], Keven Bluteau [aut], Samuel Borms [aut, cre], Kris Boudt [aut]

License: GPL (>= 2)

Uses: caret, data.table, foreach, ggplot2, glmnet, ISOweek, quanteda, Rcpp, RcppParallel, RcppRoll, stringi, e1071, randomForest, testthat, doParallel, covr

Released 7 months ago.

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