sentometrics
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>.
Keywords for this software
References in zbMATH (referenced in 3 articles , 2 standard articles )
Showing results 1 to 3 of 3.
Sorted by year (- David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt: The R package sentometrics to compute, aggregate and predict with textual sentiment (2021) arXiv
- Samuel Borms, David Ardia, Keven Bluteau, Kris Boudt, Jeroen Van Pelt, Andres Algaba: The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment (2021) not zbMATH
- Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv