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English. This paper describes our approach on Part-of-Speech tagging for Italian Social Media Texts (PoSTWITA), which is one of the task of EVALITA 2016 campaign. EVALITA is a evaluation campaign, where teams are participated and submit their systems towards the developing of tools related to Natural Language Processing (NLP) and Speech for Italian language. Our team NLP–NITMZ participated in the PoS tagging challenge for Italian Social Media Texts. In this task, total 9 team was participated and out of 4759 tags Team1 successfully identified 4435 tags and get the 1st rank. Our team get the 8th rank officially and we successfully identified 4091 tags as a accuracy of 85.96%. Italiano. In questo articolo descriviamo la nostra partecipazione al task di tagging for Italian Social Media Texts (PoSTWITA), che uno dei task della campagna Evalita 2016. A questo task hanno partecipato 9 team; su 4759 tag il team vincitore ha identificato correttamante 4435 PoS tag. Il nostro team si classificato all’ottavo posto con 4091 PoS tag annotati correttamente ed una percentuale di accuratezza di 85.96

NLP–NITMZ:Part–of–Speech Tagging on Italian Social Media Text using Hidden Markov Model