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Warriner et al. (2013) affective valence norms

Warriner_norms.Rd

Mean valence ratings for 13,905 English lemmas from Warriner, Kuperman, & Brysbaert (2013), rescaled to the [-1, 1] range. The original 1-9 Likert ratings (where 5 = neutral) are linearly transformed via (V.Mean.Sum - 5) / 4, so 1 (very negative) maps to -1, 5 to 0, and 9 (very positive) to +1. Used by score_valence(include_warriner = TRUE).

Usage

Warriner_norms

Format

A data frame with 13,905 rows and 2 columns:

  • word: lowercased lemma (character)

  • valence: rescaled mean valence in [-1, 1] (numeric)

Source

Warriner, A. B., Kuperman, V., & Brysbaert, M. (2013). Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45, 1191-1207. doi:10.3758/s13428-012-0314-x . Supplementary material redistributed under the journal's supplementary terms; see data-raw/build_warriner_jockers.R for the build recipe.