English. This paper describes our first experience of participation at the EVALITA challenge. We participated only to the SENTIPOLC Sentiment Polarity subtask and, to this purpose we tested two systems, both developed for a generic Text Categorization task, in the context of the sentiment analysis: SentimentWS and SentiPy. Both were developed according to the same pipeline, but using different feature sets and classification algorithms. The first system does not use any resource specifically developed for the sentiment analysis task. The second one, which had a slightly better performance in the polarity detection subtask, was enriched with an emoticon classifier in order to fit better the purpose of the challenge. Italiano. Questo articolo descrive la nostra prima esperienza di partecipazione ad EVALITA. Il nostro team ha partecipato solo al subtask inerente il riconoscimento della Sentiment Polarity, In questo contesot abbiamo testato due sistemi sviluppati genericamente per la Text Categorization applicandoli a questo specifico task: SentimentWS e SentiPy. Entrambi i sistemi usano la stessa pipeline ma con set di feature e algoritmi di classificazione differenti. Il primo sistema non usa alcuna risorsa specifiche per la sentment analysis, mentre il secondo, che si è classifcato meglio, pur mantendendo la sua genericità nella classificazione del testo, è stato arricchito con un classificatore per le emoticon per cercare di renderlo più adatto allo scopo della challenge.
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