sentometrics swMATH ID: 33364 Software Authors: Samuel Borms, David Ardia, Keven Bluteau, Kris Boudt, Jeroen Van Pelt, Andres Algaba Description: R package 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. (2020) <doi:10.2139/ssrn.3067734>. Homepage: https://cran.r-project.org/web/packages/sentometrics/index.html Source Code: https://github.com/cran/sentometrics Dependencies: R Keywords: R; R package; Machine Learning; arXiv_stat.ML; arXiv_cs.CL; arXiv_cs.LG; arXiv_stat.AP; sentometrics Related Software: syuzhet; sentimentr; SentimentAnalysis; meanr; qdap; tidytext; tm; R; RcppRoll; ISOweek; lubridate; stm; foreach; zoo; RcppParallel; Rcpp; lexicon; gridExtra; ggplot2; MCS Cited in: 0 Publications Standard Articles 2 Publications describing the Software Year The R package sentometrics to compute, aggregate and predict with textual sentiment David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt 2021