textdata (version 0.4.4)

lexicon_nrc_vad: The NRC Valence, Arousal, and Dominance Lexicon

Description

The NRC Valence, Arousal, and Dominance (VAD) Lexicon includes a list of more than 20,000 English words and their valence, arousal, and dominance scores. For a given word and a dimension (V/A/D), the scores range from 0 (lowest V/A/D) to 1 (highest V/A/D). The lexicon with its fine-grained real- valued scores was created by manual annotation using best--worst scaling. The lexicon is markedly larger than any of the existing VAD lexicons. We also show that the ratings obtained are substantially more reliable than those in existing lexicons.

Usage

lexicon_nrc_vad(
  dir = NULL,
  delete = FALSE,
  return_path = FALSE,
  clean = FALSE,
  manual_download = FALSE
)

Value

A tibble with 20.007 rows and 4 variables:

word

An English word

Valence

valence score of the word

Arousal

arousal score of the word

Dominance

dominance score of the word

Arguments

dir

Character, path to directory where data will be stored. If NULL, user_cache_dir will be used to determine path.

delete

Logical, set TRUE to delete dataset.

return_path

Logical, set TRUE to return the path of the dataset.

clean

Logical, set TRUE to remove intermediate files. This can greatly reduce the size. Defaults to FALSE.

manual_download

Logical, set TRUE if you have manually downloaded the file and placed it in the folder designated by running this function with return_path = TRUE.

Details

License required for commercial use. Please contact Saif M. Mohammad ([e-mail]).

Citation info:

Details of the NRC VAD Lexicon are available in this paper:

Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words. Saif M. Mohammad. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 2018.

inproceedings{vad-acl2018,
title={Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words},
author={Mohammad, Saif M.},
booktitle={Proceedings of The Annual Conference of the Association for Computational Linguistics (ACL)},
year={2018},
address={Melbourne, Australia}
}

See Also

Other lexicon: lexicon_afinn(), lexicon_bing(), lexicon_loughran(), lexicon_nrc_eil(), lexicon_nrc()

Examples

if (FALSE) {
lexicon_nrc_vad()

# Custom directory
lexicon_nrc_vad(dir = "data/")

# Deleting dataset
lexicon_nrc_vad(delete = TRUE)

# Returning filepath of data
lexicon_nrc_vad(return_path = TRUE)
}