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Talk at DISIT: Inferring Personal Traits from Social Media, Dongwon Lee, Pennsylvania State University, USA.

Submitted by root on Fri, 2015-05-15 09:59

22 maggio, ore 11:30, presso auletta del dipartimento di ingegneria dell'informazione, via S. Marta, 3, Firenze, sarà tenuto il seguente seminario dal Prof. Dongwon Lee, della Pennsylvania State University, USA.
 

Inferring Personal Traits from Social Media

Dongwon Lee, Pennsylvania State University, USA.

Abstract: Social Network Services (SNSs) have become an integral part of people¢s lives in recent years, facilitating the social relations among people who share similar activities or interests in online and/or offline lives. With an explosively growing number of users, SNSs produce diverse forms of user-generated contents (e.g., tweets, wall posts, uploaded photos, comments) as well as network features (e.g., follower or friend list). One of interesting questions (with practical implications) is to see if one can accurately infer the personal traits of individuals in SNSs using diverse forms of social media data therein. In this talk, I will present a few recent such attempts developed in the SUM project (http://goo.gl/7LsfAJ) at Penn State.

Bio: Dongwon Lee is an associate professor in the College of Information Sciences and Technology (a.k.a. iSchool) of the Pennsylvania State University, USA. Since Jan. 2015, he has been also serving as a rotating program director at National Science Foundation (NSF). He obtained his Ph.D. in Computer Science from UCLA in 2002. From 1995 to 1997, he has also worked at AT&T Bell Labs.  With the research interests in data science, social computing, and human computation, he has (co-)authored over 130+ scholarly articles that appeared in selective publication outlets. Further details of his research can be found at: http://pike.psu.edu/dongwon/