{"id":7144,"date":"2020-10-20T22:34:19","date_gmt":"2020-10-20T22:34:19","guid":{"rendered":"https:\/\/infocov.uniri.hr\/resources\/"},"modified":"2022-02-23T14:18:36","modified_gmt":"2022-02-23T14:18:36","slug":"resursi","status":"publish","type":"page","link":"https:\/\/infocov.uniri.hr\/hr\/resursi\/","title":{"rendered":"Resursi"},"content":{"rendered":"<p>[vc_row][vc_column]<div class=\"eut-empty-space eut-height-3x\" style=\"\"><\/div>[\/vc_column][\/vc_row][vc_row height_ratio=&#8221;100&#8243; tablet_sm_height_ratio=&#8221;80&#8243; mobile_height_ratio=&#8221;100&#8243; min_height=&#8221;450&#8243; rc_font_color=&#8221;#ffffff&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243; tablet_sm_width=&#8221;1-3&#8243; mobile_width=&#8221;hide&#8221;]<div class=\"eut-element eut-image eut-align-center\" style=\"\"><div class=\"eut-image-wrapper eut-popup-item\" style=\"max-width:772px;\"><div class=\"eut-thumbnail-wrapper\"  style=\"max-width: 772px;\"><div class=\"eut-thumbnail\"  style=\"padding-top: 19.43%;\"><img loading=\"lazy\" decoding=\"async\" width=\"772\" height=\"150\" src=\"https:\/\/infocov.uniri.hr\/wp-content\/uploads\/2020\/10\/infoBlack_type_white.png\" class=\"attachment-full size-full\" alt=\"\" data-eutf-filter=\"yes\" srcset=\"https:\/\/infocov.uniri.hr\/wp-content\/uploads\/2020\/10\/infoBlack_type_white.png 772w, https:\/\/infocov.uniri.hr\/wp-content\/uploads\/2020\/10\/infoBlack_type_white-300x58.png 300w, https:\/\/infocov.uniri.hr\/wp-content\/uploads\/2020\/10\/infoBlack_type_white-768x149.png 768w\" sizes=\"auto, (max-width: 772px) 100vw, 772px\" \/><\/div><\/div>  <\/div><\/div><div class=\"eut-element eut-title eut-align-inherit eut-animated-item eut-duration-very-slow eut-fade-in eut-h3\" style=\"\" data-delay=\"400\"><span><br>\n<span style=\"color: #ffffff;\">Resursi<\/span><\/span><\/div>[vc_column_text animation_delay=&#8221;1200&#8243; animation_duration=&#8221;slow&#8221;]<\/p>\n<style>\na:hover{color: red;}a:visited{color:white;}a:link{color:white;}<\/style>\n<h5 style=\"color: white;\">Projektni resursi uklju\u010duju skupove podataka vezane uz \u0161irenje poruka u dru\u0161tvenim medijima.<\/h5>\n<p>&nbsp;<\/p>\n<p style=\"color: white;\"><strong>Datasets related to COVID-19 communication in Social Media<\/strong><\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/InfoCoV\" target=\"_blank\" rel=\"noopener\"><strong>Senti-Cro-CoV-Tweets<\/strong><\/a>: dataset of 10.000 annotated COVID-19 related tweets in the Croatian language (containing tweet ID annotatet with one of the labels: positive, negative, neutral).<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/InfoCoV\/blob\/main\/Senti-Cro-Reddit.csv\" target=\"_blank\" rel=\"noopener\"><strong>Senti-Cro-CoV-Reddit<\/strong><\/a>: dataset of 6.000 annotated messages in the Croatian language (labels: positive, negative, neutral).<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/InfoCoV\/blob\/main\/Cro-CoV-Twitter.csv\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-Tweets<\/strong><\/a>: dataset of COVID-19 related tweets in the Croatian language posted n 1 January 2020 and 31 May 2021.<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/Cro-CoV-Texts\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-Texts<\/strong><\/a>: dataset with samples of the pre-processed COVID-19 related news articles in the Croatian language published in online portals.<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/Cro-CoV-Texts\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-Texts-Comments<\/strong><\/a>: dataset with samples of the pre-processed COVID-19 related users\u2019 comments in the Croatian language published in online portals.<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/Cro-CoV-Texts-Unigrams\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-Texts-Unigrams<\/strong><\/a>: dataset with collection of unigrams extracted from the COVID-19 related news articles.<\/p>\n<p><a href=\"https:\/\/github.com\/InfoCoV\/Cro-CoV-Texts-Links\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-Texts-Links<\/strong><\/a>: dataset of links to COVID-19 related news articles.<\/p>\n<p><strong><a href=\"https:\/\/github.com\/InfoCoV\/InfoCoV\/blob\/main\/Cro-COVID-Twitter.csv\" target=\"_blank\" rel=\"noopener\">Cro-CoV-Nets<\/a>: <\/strong>datasets of networks and multilayer networks collected from Twitter.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"color: white;\"><strong>Language models and classification models<\/strong><\/p>\n<p><a href=\"https:\/\/huggingface.co\/InfoCoV\/Cro-CoV-cseBERT\" target=\"_blank\" rel=\"noopener\"><strong>Cro-CoV-cseBERT<\/strong><\/a>: general language model (based on cseBERT) trained on large corpora composed of the texts written in Croatian language related to COVID-19.<\/p>\n<p><strong><a href=\"https:\/\/huggingface.co\/InfoCoV\/Cro-CoV-BERTic\" target=\"_blank\" rel=\"noopener\">Cro-CoV-BERTi\u0107<\/a>: <\/strong>general language model (based on BERTI\u0107) trained on large corpora composed of the texts written in Croatian language related to COVID-19.<\/p>\n<p><strong><a href=\"https:\/\/huggingface.co\/InfoCoV\/Senti-Cro-CoV-cseBERT\" target=\"_blank\" rel=\"noopener\">Senti-CoV-cseBERT<\/a>:<\/strong> model trained for sentiment classification in the domain of COVID-19.<\/p>\n<p><strong><a href=\"https:\/\/github.com\/InfoCoV\/Multi-Cro-CoV-cseBERT.git\" target=\"_blank\" rel=\"noopener\">Multi-Cro-CoV-cseBERT<\/a>:<\/strong> model trained for prediction of spreading in the domain of COVID-19.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column]<div class=\"eut-empty-space eut-height-3x\" style=\"\"><\/div>[\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][\/vc_column][\/vc_row][vc_row height_ratio=&#8221;100&#8243; tablet_sm_height_ratio=&#8221;80&#8243; mobile_height_ratio=&#8221;100&#8243; min_height=&#8221;450&#8243; rc_font_color=&#8221;#ffffff&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243; tablet_sm_width=&#8221;1-3&#8243; mobile_width=&#8221;hide&#8221;][vc_column_text animation_delay=&#8221;1200&#8243; animation_duration=&#8221;slow&#8221;] Projektni resursi uklju\u010duju skupove podataka vezane uz \u0161irenje poruka u dru\u0161tvenim medijima. &nbsp; Datasets related to COVID-19 communication in Social Media Senti-Cro-CoV-Tweets: dataset of 10.000 annotated COVID-19 related tweets in the Croatian language (containing tweet ID annotatet with one of the labels: positive, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7144","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Resursi - InfoCoV<\/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:\/\/infocov.uniri.hr\/hr\/resursi\/\" \/>\n<meta property=\"og:locale\" content=\"hr_HR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Resursi - InfoCoV\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row height_ratio=&#8221;100&#8243; 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