Hi all, Just a reminder that this fully remote event is happening on Wednesday!
On Thu, Mar 12, 2020 at 12:29 PM Janna Layton <jlay...@wikimedia.org> wrote: > Hi all, > > The next Research Showcase will be live-streamed on Wednesday, March 18, > at 9:30 AM PDT/16:30 UTC. We’ll have a presentation on topic modeling by > Jordan Boyd-Graber. A question-and-answer session will follow. > > YouTube stream: https://www.youtube.com/watch?v=fiD9QTHNVVM > > As usual, you can join the conversation on IRC at #wikimedia-research. You > can also watch our past research showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase > > This month's presentation: > > Big Data Analysis with Topic Models: Evaluation, Interaction, and > Multilingual Extensions > > By: Jordan Boyd-Graber, University of Maryland > > A common information need is to understand large, unstructured datasets: > millions of e-mails during e-discovery, a decade worth of science > correspondence, or a day's tweets. In the last decade, topic models have > become a common tool for navigating such datasets even across languages. > This talk investigates the foundational research that allows successful > tools for these data exploration tasks: how to know when you have an > effective model of the dataset; how to correct bad models; how to measure > topic model effectiveness; and how to detect framing and spin using these > techniques. After introducing topic models, I argue why traditional > measures of topic model quality---borrowed from machine learning---are > inconsistent with how topic models are actually used. In response, I > describe interactive topic modeling, a technique that enables users to > impart their insights and preferences to models in a principled, > interactive way. I will then address measuring topic model effectiveness in > real-world tasks. > > Overview of topic models: > https://mimno.infosci.cornell.edu/papers/2017_fntir_tm_applications.pdf > > Topic model evaluation: http://umiacs.umd.edu/~jbg//docs/nips2009-rtl.pdf > > Interactive topic modeling: > http://umiacs.umd.edu/~jbg//docs/2014_mlj_itm.pdf > Topic Models for Categorization: > http://users.umiacs.umd.edu/~jbg//docs/2016_acl_doclabel.pdf > > -- > Janna Layton (she, her) > Administrative Assistant - Product & Technology > Wikimedia Foundation <https://wikimediafoundation.org/> > -- Janna Layton (she, her) Administrative Assistant - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/> _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/wiki/Wikimedia-l New messages to: Wikimediafirstname.lastname@example.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:wikimedia-l-requ...@lists.wikimedia.org?subject=unsubscribe>