README.md
In markallenthornton/affectr: Weighted Dictionary Analysis of Text Affect
affectr is a an r package for sentiment analysis. The built in dictionaries permit accurate classification of text along three affective dimensions: rationality vs. emotionality, social impact, and valence (positive vs. negative). These dimensions have been found to organize the neural representation of others' mental states in analyses of functional magnetic resonance imaging (fMRI) data (see here). The motivation, construction, and validation of these dictionaries is described here, with code available here. The raw weighted dictionaries are freely available in a portable (csv) format here.
markallenthornton/affectr documentation built on May 17, 2019, 2:15 a.m.
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affectr is a an r package for sentiment analysis. The built in dictionaries permit accurate classification of text along three affective dimensions: rationality vs. emotionality, social impact, and valence (positive vs. negative). These dimensions have been found to organize the neural representation of others' mental states in analyses of functional magnetic resonance imaging (fMRI) data (see here). The motivation, construction, and validation of these dictionaries is described here, with code available here. The raw weighted dictionaries are freely available in a portable (csv) format here.
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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