Skip to contents

NRC word-emotion association lexicon

Source: R/lexicon_nrc.R
lexicon_nrc.Rd

General purpose English sentiment/emotion lexicon. This lexicon labels words with six possible sentiments or emotions: "negative", "positive", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", or "trust". The annotations were manually done through Amazon's Mechanical Turk.

Usage

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

Source

http://saifmohammad.com/WebPages/lexicons.html

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.

Value

A tibble with 13,901 rows and 2 variables:

word

An English word

sentiment

Indicator for sentiment or emotion: "negative", "positive", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", or "trust"

Details

License required for commercial use. Please contact Saif M. Mohammad (saif.mohammad@nrc-cnrc.gc.ca).

Citation info:

This dataset was published in Saif Mohammad and Peter Turney. (2013), ``Crowdsourcing a Word-Emotion Association Lexicon.'' Computational Intelligence, 29(3): 436-465.

article{mohammad13,
author = {Mohammad, Saif M. and Turney, Peter D.},
title = {CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON},
journal = {Computational Intelligence},
volume = {29},
number = {3},
pages = {436-465},
doi = {10.1111/j.1467-8640.2012.00460.x},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.2012.00460.x},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1467-8640.2012.00460.x},
year = {2013}
}

See also

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

Examples

if (FALSE) {
lexicon_nrc()

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

# Deleting dataset
lexicon_nrc(delete = TRUE)

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