[kw-pm] Talks for this week!

[Daniel R. Allen]

A reminder about tomorrow's Mongers Meeting at 7pm.

The usual:
http://kw.pm.org/wiki/index.cgi?PizzaList for tempting, hot pizza-
deadline 5:30 pm tomorrow;

And see below for tempting, hot talks.

See you tomorrow! -Daniel

On Mon, 18 Jan 2010, abez wrote:

> Thursday, January 21, 2010 @ 7:00 in the University of Waterloo Campus,
> Davis Centre room 3323.
>
> Abram (me) shall give 2+ talks!
>
> You'll learn about OpenID! Email extracting/parsing! Topic analysis and
> natural language processing!
>
> Subversion of OpenID 10mins+
>
> I'll talk about the structure of OpenID, and give an overview of the
> protocol. As well I'll discuss how to use Net::OpenID::Server, how to
> make sure it is running quickly. Then I'll discuss the hoops I had to
> jump through on shared hosting to get it all working.
> Email Extractor: 10mins+
>
> Email Extractor: I will go over an email extractor I wrote with the
> great help of Mail::MboxParser, which I use to analyze emails. I will go
> over what Mail::MboxParser has to offer, ways to clean up data, and
> potential uses for such an extraction.
>
> I will also discuss other modules like Mail::Box and how the modules
> differ, why you would use either and how you port some of the missing
> functionality over.
>
> (implementation driven)
> Optional: What's Hot and What's Not: Windowed Developer Topic
>
> Analysis: 20mins+
>
>     This talk will go over the idea of topic analysis which is a
>     technique you can apply to datasets consisting mostly of text. This
>     work was presented at ICSM 2009 this year in Edmonton.
>
>
> What's Hot and What's Not: Windowed Developer Topic Analysis
>
> As development on a software project progresses, developers shift their
> focus between different topics and tasks many times. Managers and
> newcomer developers often seek ways of understanding what tasks have
> recently been worked on and how much effort has gone into each; for
> example, a manager might wonder what unexpected tasks occupied their
> team's attention during a period when they were supposed to have been
> implementing new features. Tools such as Latent Dirichlet Allocation
> (LDA) and Latent Semantic Indexing (LSI) can be used to extract a set of
> independent topics from a corpus of commit-log comments. Previous work
> in the area has created a single set of topics by analyzing comments
> from the entire lifetime of the project. In this paper, we propose
> windowing the topic analysis to give a more nuanced view of the system's
> evolution. By using a defined time-window of, for example, one month, we
> can track which topics come and go over time, and which ones recur. We
> propose visualizations of this model that allows us to explore the
> evolving stream of topics of development occurring over time. We
> demonstrate that windowed topic analysis offers advantages over topic
> analysis applied to a project's lifetime because many topics are quite
> local.
>
> (slides and colors wowee, interactive in terms of questions or tutorial
> aspect only)
>
>
>
>