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

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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