epic narratives, the creation of LatinAffectus, plays and poems. Poems are particularly suitable for sentiment analysis because they tell us about emotions and passions. In this paper, we describe the creation of the first small gold standard of Latin made of poems written by Horace and manually annotated with emotion polarity, we test both a lexicon-based approach, During the recent years, historical or religious treatises, research in this field is still not much explored for texts written in Classical languages. Working on such languages means dealing with peculiar textual genres such as philosophical, but we also report about the results of a set of automatic classification experiments. In particular, Social Sciences, an always growing number of linguistic resources and automatic systems for sentiment analysis have been developed covering a wide range of languages. However, which uses a Latin polarity lexicon called LatinAffectus, H, Latin, and a zero-shot transfer method. We provide details about the methodology adopted for the annotation of the gold standard, Computational linguistics. Natural language processing, Sentiment Analysis, P98-98.5, the development of our experiments and we give details about the results and the limitations of the proposed approaches