Metadata-Version: 2.1
Name: EmoLexGram
Version: 0.0.1
Summary: EmoLexGram is a python package for text-based emotion classification
Home-page: https://github.com/mary123mary/EmoLexGram
Author: Moksha Thisarani
Author-email: moksha.util@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Requires-Python: >=3.5
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: nltk
Requires-Dist: requests

# 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


