get_nrc_sentiment: Get Emotions and Valence from NRC Dictionary

Description Usage Arguments Value References

Description

Calls the NRC sentiment dictionary to calculate the presence of eight different emotions and their corresponding valence in a text file.

Usage

1

Arguments

char_v

A character vector

Value

A data frame where each row represents a sentence from the original file. The columns include one for each emotion type as well as a positive or negative valence. The ten columns are as follows: "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", "trust", "negative", "positive."

References

Saif Mohammad and Peter Turney. "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. See: http://saifmohammad.com/WebPages/lexicons.html



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