Events Calendar

NL Seminar-EXTRACTING USER INFORMATION FROM ONLINE SOCIAL MEDIA

Speaker: Jiwei Li, Stanford University

Talk Title: EXTRACTING USER INFORMATION FROM ONLINE SOCIAL MEDIA

Series: Natural Language Seminar

Abstract: The overwhelming popularity of online social media creates an unprecedented opportunity to display aspects of oneself. Inferring information about these users has the potential to benefit many downstream applications such as recommendation engines and targeted advertising. In this talk I will show how to extract important personal information such as major life events and personal attributes (e.g., gender, education, job) from social evidence such as the text produced by users and their friends and from properties of their social network. I will describe algorithms making use of a variety of frameworks, including distant supervision, and a deep learning architecture that learns user representations by integrating many heterogeneous social signals.



Biography: Jiwei Li is a PH.D. student in the computer science department at Stanford University, working with Prof. Dan Jurafsky. His research interests include discourse, language generation, and social networks, with a focus on deep learning methods. Jiwei receives his B.S. from Peking University in 2012. He was rewarded the Facebook Fellowship in 2015.

Host: Xing Shi and Kevin Knight

More Info: http://nlg.isi.edu/nl-seminar/

Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=6b5348f2f8dc4a4dbb595eca444410d51d

Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey

WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=6b5348f2f8dc4a4dbb595eca444410d51d

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/