Sentiment Analysis of Latin Poetry: First Experiments on the Odes of Horace
| Autor: | Rachele Sprugnoli, Francesco Mambrini, Marco Passarotti, Giovanni Moretti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Horace
Annotation Emotion analysis InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Settore L-LIN/01 - GLOTTOLOGIA E LINGUISTICA Linguistics Zero-shot classification ComputingMethodologies_ARTIFICIALINTELLIGENCE Computational Linguistics linguistica Latin linguistique computationelle ComputingMethodologies_PATTERNRECOGNITION Sentiment Analysis linguistica computazionale linguistique Language |
| Zdroj: | Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021). Milan, Italy, January 26-28, 2022 |
| DOI: | 10.5281/zenodo.5773792 |
| Popis: | In this paper we present a set of annotated data and the results of a number of unsupervised experiments for the analysis of sentiment in Latin poetry. More specifically, we describe a small gold standard made of eight poems by Horace, in which each sentence is labeled manually for the sentiment using a four-value classification (positive, negative, neutral and mixed). Then, we report on how this gold standard has been used to evaluate two au- tomatic approaches for sentiment classification: one is lexicon-based and the other adopts a zero-shot transfer approach. {"references":["Sprugnoli, R., Mambrini, F., Passarotti, M., & Moretti, G. (2021). Sentiment Analysis of Latin Poetry: First Experiments on the Odes of Horace. In CLiC-it."]} |
| Databáze: | OpenAIRE |
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