data_dictionary_NRC: NRC Word-Emotion Association Lexicon
In quanteda/quanteda.sentiment: Sentiment Analysis using 'quanteda'
data_dictionary_NRC R Documentation
NRC Word-Emotion Association Lexicon
Description
A quanteda dictionary object containing Mohammad and
Charron's (2010, 2013) English version of the NRC Word-Emotion Association
Lexicon (aka NRC Emotion Lexicon aka EmoLex): association of words with eight
emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust)
and two sentiments (negative and positive) manually annotated on Amazon's
Mechanical Turk.
The Sentiment and Emotion Lexicons is a collection of lexicons that was
entirely created by the experts of the National Research Council of Canada.
Developed with a wide range of applications, this lexicon collection can be
used in a multitude of contexts such as sentiment analysis, product
marketing, consumer behaviour and even political campaign analysis.
The technology uses a list of words that help identify emotions, sentiment,
as well as analyzing hashtags, emoticons and word-colour associations. The
lexicons contain entries for English words, and can be used to analyze
English texts.
Usage
data_dictionary_NRC
Format
An object of class dictionary2 of length 10.
License and Terms of Use
Free for research purposes.
For questions about the commercial license, email Pierre Charron (Client
Relationship Leader at NRC): Pierre.Charron@nrc-cnrc.gc.ca.
Terms of Use:
Cite the papers associated with the lexicons in your research papers and
articles that make use of them. (The papers associated with each lexicon
are listed below, and also in the READMEs for individual lexicons.)
In news articles and online posts on work using these lexicons, cite the
appropriate lexicons. For example: "This application/product/tool makes
use of the resource name, created by author(s) at the National
Research Council Canada." (The creators of each lexicon are listed below.
Also, if you send us an email, we will be thrilled to know about how you
have used the lexicon.) If possible hyperlink to this page:
http://saifmohammad.com/WebPages/lexicons.html.
If you use a lexicon in a product or application, then acknowledge this in
the 'About' page and other relevant documentation of the application by
stating the name of the resource, the authors, and NRC. For example: "This
application/product/tool makes use of the resource name, created by
author(s) at the National Research Council Canada." (The creators of
each lexicon are listed below. Also, if you send us an email, we will be
thrilled to know about how you have used the lexicon.) If possible
hyperlink to this page: http://saifmohammad.com/WebPages/lexicons.html.
Do not redistribute the data. Direct interested parties to this page:
http://saifmohammad.com/WebPages/AccessResource.htm.
National Research Council Canada (NRC) disclaims any responsibility for
the use of the lexicons listed here and does not provide technical
support. However, the contact listed above will be happy to respond to
queries and clarifications.
Note
Technical and research-related questions can be addressed to Saif M.
Mohammad (Senior Research Scientist at NRC):
Saif.Mohammad@nrc-cnrc.gc.ca.
Source
See also http://saifmohammad.com/WebPages/AccessResource.htm
References
Mohammad, S. & Turney, P. (2013). Crowdsourcing a Word-Emotion Association Lexicon. Computational Intelligence,
29(3), 436–465.
Mohammad, S. & Turney, P. (2010). Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon. In Proceedings of
the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and
Generation of Emotion in Text, June 2010, LA, California.
quanteda/quanteda.sentiment documentation built on Feb. 26, 2024, 12:42 a.m.
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| data_dictionary_NRC | R Documentation |
NRC Word-Emotion Association Lexicon
Description
A quanteda dictionary object containing Mohammad and Charron's (2010, 2013) English version of the NRC Word-Emotion Association Lexicon (aka NRC Emotion Lexicon aka EmoLex): association of words with eight emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) and two sentiments (negative and positive) manually annotated on Amazon's Mechanical Turk.
The Sentiment and Emotion Lexicons is a collection of lexicons that was entirely created by the experts of the National Research Council of Canada. Developed with a wide range of applications, this lexicon collection can be used in a multitude of contexts such as sentiment analysis, product marketing, consumer behaviour and even political campaign analysis.
The technology uses a list of words that help identify emotions, sentiment, as well as analyzing hashtags, emoticons and word-colour associations. The lexicons contain entries for English words, and can be used to analyze English texts.
Usage
data_dictionary_NRC
Format
An object of class dictionary2 of length 10.
License and Terms of Use
Free for research purposes.
For questions about the commercial license, email Pierre Charron (Client
Relationship Leader at NRC): Pierre.Charron@nrc-cnrc.gc.ca.
Terms of Use:
Cite the papers associated with the lexicons in your research papers and articles that make use of them. (The papers associated with each lexicon are listed below, and also in the READMEs for individual lexicons.)
In news articles and online posts on work using these lexicons, cite the appropriate lexicons. For example: "This application/product/tool makes use of the
resource name, created byauthor(s)at the National Research Council Canada." (The creators of each lexicon are listed below. Also, if you send us an email, we will be thrilled to know about how you have used the lexicon.) If possible hyperlink to this page: http://saifmohammad.com/WebPages/lexicons.html.If you use a lexicon in a product or application, then acknowledge this in the 'About' page and other relevant documentation of the application by stating the name of the resource, the authors, and NRC. For example: "This application/product/tool makes use of the
resource name, created byauthor(s)at the National Research Council Canada." (The creators of each lexicon are listed below. Also, if you send us an email, we will be thrilled to know about how you have used the lexicon.) If possible hyperlink to this page: http://saifmohammad.com/WebPages/lexicons.html.Do not redistribute the data. Direct interested parties to this page: http://saifmohammad.com/WebPages/AccessResource.htm.
National Research Council Canada (NRC) disclaims any responsibility for the use of the lexicons listed here and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications.
Note
Technical and research-related questions can be addressed to Saif M.
Mohammad (Senior Research Scientist at NRC):
Saif.Mohammad@nrc-cnrc.gc.ca.
Source
See also http://saifmohammad.com/WebPages/AccessResource.htm
References
Mohammad, S. & Turney, P. (2013). Crowdsourcing a Word-Emotion Association Lexicon. Computational Intelligence, 29(3), 436–465.
Mohammad, S. & Turney, P. (2010). Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon. In Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, June 2010, LA, California.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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