https://community.esri.com/t5/geodev-germany-videos/mining-traffic-information-from-social-media-data/m-p/977182#M12 <div class="lia-vid-container video-embed-center"><div id="lia-vid-6162694387001w320h240r25" class="lia-video-brightcove-player-container"><video-js data-video-id="6162694387001" data-account="6161463677001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"></video-js></div><script src="https://players.brightcove.net/6161463677001/default_default/index.min.js"></script><script>(function() { var wrapper = document.getElementById('lia-vid-6162694387001w320h240r25'); var videoEl = wrapper ? wrapper.querySelector('video-js') : null; if (videoEl) { if (window.videojs) { window.videojs(videoEl).ready(function() { this.on('loadedmetadata', function() { this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) { bar.setAttribute('role', 'presentation'); bar.setAttribute('aria-hidden', 'true'); }); }); }); } }})();</script><a class="video-embed-link" href="https://community.esri.com/t5/video/gallerypage/video-id/6162694387001">(view in My Videos)</a></div><BR /><P><SPAN style="background-color: #ffffff;"><SPAN style="color: rgba(0, 0, 0, 0.87);">Chenyu Zuo, Esri Deutschland,&nbsp;</SPAN><SPAN style="color: rgba(0, 0, 0, 0.87); border: 0px;">talks at&nbsp;</SPAN><SPAN style="border: 0px;">GeoDev Meetup 5 2017 - "The Power of Scripting" in<SPAN style="border: 0px; font-weight: inherit;">&nbsp;</SPAN></SPAN><SPAN style="border: 0px;">M</SPAN><SPAN style="border: 0px;">unich.</SPAN></SPAN></P><P></P><P><SPAN style="background-color: #ffffff;">Social media has become prevalent in the last decade. People publish various topics, for instance food, work, traveling, sports, health, on a variety of social media platforms on a daily basis, which reflect a wide range of socioeconomic phenomena and human behaviors. The rich social media data can also be used for traffic information extraction and analysing. For example, where and when do people complain about public transport services? How is traffic congestion related to traffic accidents?&nbsp; Which kinds of people activities are related to traffics. Ming such information is very interesting and challenging. In this talk, we hope to provide you solutions for events extraction from textual data and innovative ways of geo-data analysing.</SPAN></P> Wed, 13 Dec 2017 12:14:58 GMT AlexanderErbe 2017-12-13T12:14:58Z https://community.esri.com/t5/geodev-germany-videos/mining-traffic-information-from-social-media-data/m-p/977182#M12 <div class="lia-vid-container video-embed-center"><div id="lia-vid-6162694387001w320h240r320" class="lia-video-brightcove-player-container"><video-js data-video-id="6162694387001" data-account="6161463677001" data-player="default" data-embed="default" class="vjs-fluid" controls="" data-application-id="" style="width: 100%; height: 100%;"></video-js></div><script src="https://players.brightcove.net/6161463677001/default_default/index.min.js"></script><script>(function() { var wrapper = document.getElementById('lia-vid-6162694387001w320h240r320'); var videoEl = wrapper ? wrapper.querySelector('video-js') : null; if (videoEl) { if (window.videojs) { window.videojs(videoEl).ready(function() { this.on('loadedmetadata', function() { this.el().querySelectorAll('.vjs-load-progress div[data-start]').forEach(function(bar) { bar.setAttribute('role', 'presentation'); bar.setAttribute('aria-hidden', 'true'); }); }); }); } }})();</script><a class="video-embed-link" href="https://community.esri.com/t5/video/gallerypage/video-id/6162694387001">(view in My Videos)</a></div><BR /><P><SPAN style="background-color: #ffffff;"><SPAN style="color: rgba(0, 0, 0, 0.87);">Chenyu Zuo, Esri Deutschland,&nbsp;</SPAN><SPAN style="color: rgba(0, 0, 0, 0.87); border: 0px;">talks at&nbsp;</SPAN><SPAN style="border: 0px;">GeoDev Meetup 5 2017 - "The Power of Scripting" in<SPAN style="border: 0px; font-weight: inherit;">&nbsp;</SPAN></SPAN><SPAN style="border: 0px;">M</SPAN><SPAN style="border: 0px;">unich.</SPAN></SPAN></P><P></P><P><SPAN style="background-color: #ffffff;">Social media has become prevalent in the last decade. People publish various topics, for instance food, work, traveling, sports, health, on a variety of social media platforms on a daily basis, which reflect a wide range of socioeconomic phenomena and human behaviors. The rich social media data can also be used for traffic information extraction and analysing. For example, where and when do people complain about public transport services? How is traffic congestion related to traffic accidents?&nbsp; Which kinds of people activities are related to traffics. Ming such information is very interesting and challenging. In this talk, we hope to provide you solutions for events extraction from textual data and innovative ways of geo-data analysing.</SPAN></P> Wed, 13 Dec 2017 12:14:58 GMT https://community.esri.com/t5/geodev-germany-videos/mining-traffic-information-from-social-media-data/m-p/977182#M12 AlexanderErbe 2017-12-13T12:14:58Z