{"id":233,"date":"2017-02-20T10:04:12","date_gmt":"2017-02-20T10:04:12","guid":{"rendered":"http:\/\/collab.di.uniba.it\/nicole\/?page_id=233"},"modified":"2017-02-20T10:06:26","modified_gmt":"2017-02-20T10:06:26","slug":"sentipolc","status":"publish","type":"page","link":"https:\/\/collab.di.uniba.it\/nicole\/sentipolc\/","title":{"rendered":"SENTIPOLC 2016"},"content":{"rendered":"

The dataset of SENTIPOLC (SENTIment POLarity Classification) of Italian Tweets can be downloaded from the official SENTIPOLC webpage <\/a><\/p>\n

Please cite:
\n Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, Viviana Patti (2016). Overview of the EVALITA 2016 SENTiment POLarity Classification Task. Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016)<\/em><\/p>\n

Paper available here <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The dataset of SENTIPOLC (SENTIment POLarity Classification) of Italian Tweets can be downloaded from the official SENTIPOLC webpage Please cite: Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, Viviana Patti (2016). Overview of the EVALITA 2016 SENTiment POLarity<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-233","page","type-page","status-publish","hentry"],"yoast_head":"\nSENTIPOLC 2016 - Nicole Novielli<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/collab.di.uniba.it\/nicole\/sentipolc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SENTIPOLC 2016 - Nicole Novielli\" \/>\n<meta property=\"og:description\" content=\"The dataset of SENTIPOLC (SENTIment POLarity Classification) of Italian Tweets can be downloaded from the official SENTIPOLC webpage Please cite: Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, Viviana Patti (2016). 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