/EmotiNet

A neural network-based emotion classification system designed to analyze and predict human emotions from text. Using a custom-built neural network in C, EmotiNet processes textual data, converts it into numerical inputs, and classifies the sentiment into one of six core emotions: Sadness, Joy, Love, Anger, Fear, and Surprise.

Primary LanguageCMIT LicenseMIT

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