AriEmozione 2.0: Identifying Emotions in Opera Verses and Arias
نویسندگان
چکیده
We present the task of identifying emotions conveyed by lyrics Italian opera arias. shape as a multi-class supervised problem, considering six from Parrot’s tree: love, joy, admiration, anger, sadness, and fear. manually annotated an corpus with 2.5k instances at verse level experimented different classification models representations to identify expressed emotions. Our best-performing consider character 3-gram reach relatively low levels macro-averaged F1. Such performance reflects difficulty hand, partially caused size nature corpus: short verses written in 18th-century Italian. Building on what we learned verse-level setting, adopt higher granularity increase corpus. First, switch arias order have longer more expressive texts. Second, construct new 40k (\(\sim\) 90k verses). This dataset contains silver data, self-learning basis ensemble binary classifiers.We then experiment sophisticated representations, learning embedding space using it train for identification aria level, obtaining significant boost.
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ژورنال
عنوان ژورنال: IJCoL
سال: 2022
ISSN: ['2499-4553']
DOI: https://doi.org/10.4000/ijcol.1039