textdata (version 0.3.0)

lexicon_nrc: NRC word-emotion association lexicon

Description

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)

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.

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 ([e-mail]).

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<U+2013>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

# NOT RUN {
lexicon_nrc()

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

# Deleting dataset
lexicon_nrc(delete = TRUE)

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