{"id":1779,"date":"2021-09-08T08:48:35","date_gmt":"2021-09-08T08:48:35","guid":{"rendered":"https:\/\/optimoves.inesctec.pt\/?p=1779"},"modified":"2021-09-08T09:08:29","modified_gmt":"2021-09-08T09:08:29","slug":"presentation-at-the-7th-ieee-international-smart-cities-conference","status":"publish","type":"post","link":"https:\/\/optimoves.inesctec.pt\/?p=1779","title":{"rendered":"Presentation at the 7th IEEE International Smart Cities Conference"},"content":{"rendered":"\n<p>Public opinion is nowadays a valuable data source for many sectors. We analyzed the <strong>#transportation<\/strong> sector using messages extracted from <strong>#Twitter<\/strong>. Contrasting with the traditional surveying methods that are high-cost and inefficient used in the transportation sector, <strong>#socialmedia<\/strong> are popular sources of crowdsensing.\u00a0We used BERT <strong>#embeddings<\/strong>, an unsupervised pre-trained model released in 2018, to classify travel-related terms using tweets collected from three distinct cities: New York, London, and Melbourne.\u00a0This research work was presented today at the International Smart City Conference (<strong>#isc2<\/strong>).<\/p>\n\n\n\n<p><strong>#optiMOVES<\/strong>, <strong>#INESCTEC<\/strong>, <strong>#urbanmobility<\/strong>, <strong>#transport, #transport, #smartcities<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"550\" src=\"https:\/\/optimoves.inesctec.pt\/wp-content\/uploads\/2021\/09\/2021-09-07-ISC2-Francisco-Murcos-1024x550.png\" alt=\"\" class=\"wp-image-1780\" srcset=\"https:\/\/optimoves.inesctec.pt\/wp-content\/uploads\/2021\/09\/2021-09-07-ISC2-Francisco-Murcos-1024x550.png 1024w, https:\/\/optimoves.inesctec.pt\/wp-content\/uploads\/2021\/09\/2021-09-07-ISC2-Francisco-Murcos-300x161.png 300w, https:\/\/optimoves.inesctec.pt\/wp-content\/uploads\/2021\/09\/2021-09-07-ISC2-Francisco-Murcos-768x412.png 768w, https:\/\/optimoves.inesctec.pt\/wp-content\/uploads\/2021\/09\/2021-09-07-ISC2-Francisco-Murcos.png 1330w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Public opinion is nowadays a valuable data source for many sectors. We analyzed the #transportation sector using messages extracted from #Twitter. Contrasting with the traditional surveying methods that are high-cost and inefficient used in the transportation sector, #socialmedia are popular sources of crowdsensing.\u00a0We used BERT #embeddings, an unsupervised pre-trained model released in 2018, to classify travel-related terms using tweets collected&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[],"class_list":["post-1779","post","type-post","status-publish","format-standard","hentry","category-conferences"],"_links":{"self":[{"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/posts\/1779","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1779"}],"version-history":[{"count":2,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/posts\/1779\/revisions"}],"predecessor-version":[{"id":1783,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=\/wp\/v2\/posts\/1779\/revisions\/1783"}],"wp:attachment":[{"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1779"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1779"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/optimoves.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}