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. (2017) <doi:10.2139/ssrn.3067734>.

Package details

AuthorDavid Ardia [aut], Keven Bluteau [aut], Samuel Borms [aut, cre], Kris Boudt [aut]
MaintainerSamuel Borms <[email protected]>
LicenseGPL (>= 2)
Version0.5.5
URL https://github.com/sborms/sentometrics
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sentometrics")

Try the sentometrics package in your browser

Any scripts or data that you put into this service are public.

sentometrics documentation built on Nov. 15, 2018, 5:04 p.m.