EmoLexGram is a python package for text-based emotion classification
Project description
# EmoLexGram A python package for classifying emotion based on EmoLexGram (NRC Emotion Lexicon).
NRC Word-Emotion Association Lexicon aka NRC Emotion Lexicon aka EmoLexGram:
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. Available in 40 different languages.
Version: 0.0.1
Number of terms: 14,182 unigrams (words), ~25,000 word senses
Association scores: binary (associated or not)
Creators of Lexicon: Saif M. Mohammad and Peter D. Turney https://www.saifmohammad.com/WebPages/AccessResource.htm
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