BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Missouri State University/Calendar of Events//EN CALSCALE:GREGORIAN X-WR-TIMEZONE:America/Chicago BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:818e51b0-5b7f-4005-901e-a257c0fc965e.227488@calendar.missouristate.edu CREATED:20230214T214911Z LAST-MODIFIED:20230214T214911Z LOCATION:Hill Hall 002 SUMMARY:Computer Science Seminar - Dr. Sanjay Madria DESCRIPTION:Title: Machine Learning for Emotion Prediction\, Ideology Dete ction and Polarization Analysis using COVID-19 Tweets.\n\n\nDr. Madria is a Curators' Distinguished Professor in the Department of Computer Scienc e at the Missouri University of Science and Technology.\n\n\nAbstract: Th e adversarial impact of the Covid-19 pandemic has created a health crisis all over the world. This unprecedented crisis forced people to lockdown and changed almost every aspect of people's regular activities. Thus the pandemic is also impacting everyone physically\, mentally\, and economica lly\, and it\, therefore\, is paramount to analyze and understand emotion al responses during the crisis affecting mental health. Dr. Madria will d iscuss a manually labeled tweets dataset on COVID-19 emotional responses along with regular tweets data. Further\, he will discuss a deep learning model leveraging the pre-trained BERT-base to detect the political ideol ogy from the tweets for political polarization analysis. X-ALT-DESC;FMTTYPE=text/html:<html><head><title></title></head><body><p>Ti tle: Machine Learning for Emotion Prediction\, Ideology Detection and Pol arization Analysis using COVID-19 Tweets.</p>\n<p>Dr. Madria is a Curator s' Distinguished Professor in the Department of Computer Science at the M issouri University of Science and Technology.</p>\n<p>Abstract: The adver sarial impact of the Covid-19 pandemic has created a health crisis all ov er the world. This unprecedented crisis forced people to lockdown and cha nged almost every aspect of people's regular activities. Thus the pandemi c is also impacting everyone physically\, mentally\, and economically\, a nd it\, therefore\, is paramount to analyze and understand emotional resp onses during the crisis affecting mental health. Dr. Madria will discuss a manually labeled tweets dataset on COVID-19 emotional responses along w ith regular tweets data. Further\, he will discuss a deep learning model leveraging the pre-trained BERT-base to detect the political ideology fro m the tweets for political polarization analysis.</p>\n<p></p></body></ht ml> DTSTART;TZID=America/Chicago:20230324T111500 DTEND;TZID=America/Chicago:20230324T120500 SEQUENCE:1 URL: CATEGORIES:Current Students,Faculty,Staff END:VEVENT END:VCALENDAR