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Many a time, for real-world projects, emotion recognition is often just the start of the project. That time writing a whole code on that will not only increase time but also efficiency is hindered.
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NRCLexicon is an MIT-approved pypi project by Mark M. Bailey which predicts the sentiments and emotion of a given text. The package contains approximately 27,000 words and is based on the National Research Council Canada (NRC) affect lexicon and the NLTK library’s WordNet synonym sets.
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https://www.geeksforgeeks.org/emotion-classification-using-nrc-lexicon-in-python/
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