sentometrics: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
sentometrics package is an integrated framework for textual sentiment time series aggregation and prediction. It accounts for the intrinsic challenge that, for a given text, sentiment can be computed in many different ways, as well as the large number of possibilities to pool sentiment across texts and time. This additional layer of manipulation does not exist in standard text mining and time series analysis packages. The package therefore integrates the fast qualification of sentiment from texts, the aggregation into different sentiment time series and the optimized prediction based on these measures.
To install the package from CRAN, simply do:
The latest development version of
sentometrics is available at https://github.com/sborms/sentometrics. To install this version (which may contain bugs!), execute:
sentometrics in publications. Use
This software package originates from a Google Summer of Code 2017 project.