syuzhet
R package syuzhet. Extracts sentiment and sentiment-derived plot arcs from text using three sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include ”syuzhet” (default) developed in the Nebraska Literary Lab ”afinn” developed by Finn {AA}rup Nielsen, ”bing” developed by Minqing Hu and Bing Liu, and ”nrc” developed by Mohammad, Saif M. and Turney, Peter D. Applicable references are available in README.md and in the documentation for the ”get_sentiment” function. The package also provides a hack for implementing Stanford’s coreNLP sentiment parser. The package provides several methods for plot arc normalization.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
Sorted by year (- Anand, Abhinav; Pathak, Jalaj: The role of Reddit in the GameStop short squeeze (2022)
- 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