Emotion Detection in Text hasbeen a conventionally difficult task giventhe presence of subjectivity, subtleties andstylizations used in text. While a numberof conventional and deep learning techniques have been used, the project finds the BERT Model to be the best performing so far, and develops an application to classify text from an external dataset into the seven basic emotion classes.

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