際際滷shows by User: MonirehEbrahimi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MonirehEbrahimi / Fri, 10 Feb 2017 02:28:07 GMT 際際滷Share feed for 際際滷shows by User: MonirehEbrahimi 2017 sa tc_pi_meeting_-_poster final 2 /slideshow/2017-sa-tcpimeetingposter-final-2/71986056 2017satcpimeeting-posterfinal2-170210022807
Context-Aware Harassment Detection on Social Media is an inter-disciplinary project among the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), the Department of Psychology, and Center for Urban and Public Affairs (CUPA) at Wright State University. The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions. ]]>
Context-Aware Harassment Detection on Social Media is an inter-disciplinary project among the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), the Department of Psychology, and Center for Urban and Public Affairs (CUPA) at Wright State University. The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions. ]]> Fri, 10 Feb 2017 02:28:07 GMT /slideshow/2017-sa-tcpimeetingposter-final-2/71986056 MonirehEbrahimi@slideshare.net(MonirehEbrahimi) 2017 sa tc_pi_meeting_-_poster final 2 MonirehEbrahimi Context-Aware Harassment Detection on Social Media is an inter-disciplinary project among the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), the Department of Psychology, and Center for Urban and Public Affairs (CUPA) at Wright State University. The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017satcpimeeting-posterfinal2-170210022807-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Context-Aware Harassment Detection on Social Media is an inter-disciplinary project among the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), the Department of Psychology, and Center for Urban and Public Affairs (CUPA) at Wright State University. The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions.
2017 sa tc_pi_meeting_-_poster final 2 from Monireh Ebrahimi
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Context-Aware Harassment Detection on Social Media]]>
Context-Aware Harassment Detection on Social Media]]> Wed, 02 Dec 2015 16:30:44 GMT /slideshow/harassment-shortv4nov15/55746774 MonirehEbrahimi@slideshare.net(MonirehEbrahimi) Harassment short-v4-nov15 MonirehEbrahimi Context-Aware Harassment Detection on Social Media <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/harassment-short-v4-nov15-151202163044-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Context-Aware Harassment Detection on Social Media
Harassment short-v4-nov15 from Monireh Ebrahimi
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