sentometrics (0.8.0)

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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. (2019) .

Maintainer: Samuel Borms
Author(s): Samuel Borms [aut, cre] (<>), David Ardia [aut] (<>), Keven Bluteau [aut] (<>), Kris Boudt [aut] (<>), Jeroen Van Pelt [ctb], Andres Algaba [ctb]

License: GPL (>= 2)

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

Released 15 days ago.

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