Norms of valence, arousal, and dominance for 13,915 English lemmas

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Norms of valence, arousal, and dominance for 13,915 English lemmas
Authors: Amy Beth Warriner, Victor Kuperman, Marc Brysbaert
Citation: Behavior Research Methods 45 (4): 1191-1207. 2013 December
Database(s): Google Scholar cites
DOI: 10.3758/s13428-012-0314-x.
Link(s): http://www.uvm.edu/~pdodds/research/papers/files/2013/warriner2013a.pdf
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Norms of valence, arousal, and dominance for 13,915 English lemmas

The word list is available at:

http://crr.ugent.be/archives/1003

This is a comma-separated values file with mean, standard deviation and number of ratings for valence, arousal and dominance listed for male, females and total.

The file is distributed under CC-NC-ND.

Contents

[edit] Python

[edit] Show a histogram of valences

import matplotlib.pyplot as plt
import pandas as pd
 
url = "http://crr.ugent.be/papers/Ratings_Warriner_et_al.csv"
df = pd.read_csv(url)
df['V.Mean.Sum'].hist(bins=100)
plt.show()

[edit] Show "worst" and "best" words

>>> df.sort('V.Mean.Sum')['Word'].head()
8846     pedophile
9862        rapist
253           AIDS
12660      torture
7045      leukemia
 
>>> df.sort('V.Mean.Sum', ascending=False)['Word'].head()
13282     vacation
5594     happiness
5595         happy
2079     christmas
5007           fun

[edit] Related papers

  1. Norms of valence, arousal, dominance, and age of acquisition for 4300 Dutch words

[edit] Applications

  1. Affective biases in English are bi-dimensional

[edit] See also

  1. AFINN
  2. ANEW
  3. LabMT
  4. Sentiment analysis
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