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NRC Emotion Intensity Lexicon (aka Affect Intensity Lexicon) v0.5

Source: R/lexicon_nrc_eil.R
lexicon_nrc_eil.Rd

General purpose English sentiment/emotion lexicon. The NRC Affect Intensity Lexicon is a list of English words and their associations with four basic emotions (anger, fear, sadness, joy).

Usage

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

Source

https://saifmohammad.com/WebPages/AffectIntensity.htm

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 5.814 rows and 3 variables:

term

An English word

score

Value between 0 and 1

AffectDimension

Indicator for sentiment or emotion: ("anger", "fear", "sadness", "joy")

Details

For a given word and emotion X, the scores range from 0 to 1. A score of 1 means that the word conveys the highest amount of emotion X. A score of 0 means that the word conveys the lowest amount of emotion X.

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

Citation info:

Details of the lexicon are in this paper. Word Affect Intensities. Saif M. Mohammad. In Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC-2018), May 2018, Miyazaki, Japan.

inproceedings{LREC18-AIL,
author = {Mohammad, Saif M.},
title = {Word Affect Intensities},
booktitle = {Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC-2018)},
year = {2018},
address={Miyazaki, Japan}
}

See also

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

Examples

if (FALSE) {
lexicon_nrc_eil()

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

# Deleting dataset
lexicon_nrc_eil(delete = TRUE)

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