MilaNLProc/feel-it-italian-emotion

Feeling-IT is a novel benchmark corpus of Italian Twitter posts annotated with four basic emotions: anger, fear, joy, sadness . We release an open-source Python library so researchers can use a model trained on FEEL-IT for inferring both sentiments and emotions from Italian text . The feel-it-italian-emotion model performs emotion classification on Italian. It is meant to be a very simple interface over HuggingFace models. We evaluate our . corpus on benchmark datasets for both emotion and sentiment classification, obtaining competitive results. We . evaluate our performance using MultiEmotions-It. This dataset differs from FEEL .IT both in terms of topic variety and considered social,