BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230726T011502Z UID:D0CDC676-4BDC-43D9-B9DA-343208DF1896 DTSTART;TZID=US/Pacific:20230725T080000 DTEND;TZID=US/Pacific:20230725T123000 DESCRIPTION:Free Registration: https://www.eventbrite.com/e/icads-23-second -international-conference-on-applied-data-science-tickets-642446935077\n\n Synopsis:\n\n8am – 9am PT\n\nProf. Ram Mohana Reddy Guddeti\, India\n\n1 1am – 12pm PT Using Machine Learning Tools in the Cloud: Experience Gain ed from the Ask4Summary research project\n\nProf. Maiga Chang\, Athabasca University\, Canada\nAsk4Summary (https://ask4summary.vipresearch.ca/) is a research that has a system periodically running backend services to proc ess text-based content (e.g.\, a course’s learning materials and the COR D-19 dataset). The CORD-19 dataset includes a growing number of academic a rticles regarding Coronaviruses\; at present\, there are more than 717\,00 0 full text articles in the CORD-19 dataset. When Ask4Summary processes th ese text-based content\, it uses Natural Language Processing (NLP) techniq ues that include tokenization\, n-grams extraction\, and part-of-speech (P oS) tagging. It then identifies the keywords from a user’s question and uses cosine similarity to summarize the associated content and present to the user. When the Ask4Summary is fed with course materials like PDFs\, Wo rd and Powerpoint documents\, it can provide summaries for students’ que stions related to the course. Currently Ask4Summary can serve users via th ree ways: web system\, Moodle plugin\, and chatbot. In this talk\, I would also like to share some of our experiences and insights from using Amazon ’s Comprehend Keyphrase Extraction and Syntax Analysis APIs in the Ask4S ummary research project.\n\nSpeaker(s): Prof. Maiga Chang\, Vishnu S. Pend yala\, Prof. Ram Mohana Reddy Guddeti\,\n\nVirtual: https://events.vtools. ieee.org/m/362267 LOCATION:Virtual: https://events.vtools.ieee.org/m/362267 ORGANIZER:pendyala@ieee.org SEQUENCE:17 SUMMARY:ICADS ’23: Second International Conference on Applied Data Scienc e URL;VALUE=URI:https://events.vtools.ieee.org/m/362267 X-ALT-DESC:Description: <br /><p>Free Registration: https://www.eventbrite. com/e/icads-23-second-international-conference-on-applied-data-science-tic kets-642446935077</p>\n<p><em><strong>Synopsis:</strong></em></p>\n<p><str ong>8am &ndash\; 9am PT</strong></p>\n<p>Prof. Ram Mohana Reddy Guddeti\, India</p>\n<p><strong>11am &ndash\; 12pm PT Using Machine Learning Tools i n the Cloud: Experience Gained from the Ask4Summary research project</stro ng></p>\n<p>Prof. Maiga Chang\, Athabasca University\, Canada</p>\n<div>As k4Summary (<a title="https://ask4summary.vipresearch.ca/" href="https://as k4summary.vipresearch.ca/" data-ogsc="">https://ask4summary.vipresearch.ca /</a>) is a research that has a system periodically running backend servic es to process text-based content (e.g.\, a course&rsquo\;s learning materi als and the CORD-19 dataset). The CORD-19 dataset includes a growing numbe r of academic articles regarding Coronaviruses\; at present\, there are mo re than 717\,000 full text articles in the CORD-19 dataset. When Ask4Summa ry processes these text-based content\, it uses Natural Language Processin g (NLP) techniques that include tokenization\, n-grams extraction\, and pa rt-of-speech (PoS) tagging. It then identifies the keywords from a user&rs quo\;s question and uses cosine similarity to summarize the associated con tent and present to the user. When the Ask4Summary is fed with course mate rials like PDFs\, Word and Powerpoint documents\, it can provide summaries for students&rsquo\; questions related to the course. Currently Ask4Summa ry can serve users via three ways: web system\, Moodle plugin\, and chatbo t. In this talk\, I would also like to share some of our experiences and i nsights from using Amazon&rsquo\;s Comprehend Keyphrase Extraction and Syn tax Analysis APIs in the Ask4Summary research project.</div> END:VEVENT END:VCALENDAR