FEEL IT: Emotion and Sentiment Classification for the Italian Language FEEL IT Python Package You can find the package that uses this model for emotion and sentiment classification here it is meant to be a very simple interface over HuggingFace models. License Users should refer to the following license Abstract Sentiment analysis is a common task to understand people's reactions online. Still, we often need more nuanced information: is the post negative because the user is angry or because they are sad? An abundance of approaches has been introduced for tackling both tasks. However, at least for Italian, they all treat only one of the tasks at a time. We introduce FEEL IT , a novel benchmark corpus of Italian Twitter posts annotated with four basic emotions: anger, fear, joy, sadness . By collapsing them, we can also do sentiment analysis . We evaluate our corpus on benchmark datasets for both emotion and sentiment classification, obtaining competitive results. 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. Model Download feel it italian sentiment Link feel it italian emotion…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy