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lexicon (version 1.2.1)

hash_sentiment_nrc: NRC Sentiment Polarity Table

Description

A data.table dataset containing a filtered version of Mohammad & Turney', P. D.'s (2010) positive/negative word list as sentiment lookup values.

Usage

data(hash_sentiment_nrc)

Arguments

Format

A data frame with 5468 rows and 2 variables

License

The original authors note the data is available for non-commercial use: "If interested in commercial use of any of these lexicons, send email to Saif M. Mohammad (Senior Research Officer at NRC and creator of these lexicons): saif.mohammad@nrc-cnrc.gc.ca and Pierre Charron (Client Relationship Leader at NRC): Pierre.Charron@nrc-cnrc.gc.ca. A nominal one-time licensing fee may apply."

Details

  • x. Words

  • y. Sentiment values (+1, -1)

References

http://www.purl.com/net/lexicons Mohammad, S. M. & Turney, P. D. (2010) Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon, In Proceeding of Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, 26-34.

Examples

Run this code
# NOT RUN {
library(data.table)
hash_sentiment_nrc[c('happy', 'angry')]
# }

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