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 
New messages to: Wikimedia-l@lists.wikimedia.org
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, 

Reply via email to