markallenthornton/affectr: Weighted Dictionary Analysis of Text Affect

This package computes the affect of text using weighted dictionaries. Although intended for sentiment analysis, other word vectors can also be scored. The included 3-D affect space - consisting of rationality, social impact, and valence - was derived from analysis of patterns of brain activity associated thinking about individual mental states: Tamir, D. I., Thornton, M. A., Contreras, J. M., & Mitchell, J. P. (2016). Neural evidence that three dimensions organize mental state representation: Rationality, social impact, and valence. Proceedings of the National Academy of Sciences of the United States of America, 113(1), 194-199.

Getting started

Package details

LicenseGPL 3.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
markallenthornton/affectr documentation built on May 17, 2019, 2:15 a.m.