Logistics of the Class
Institutions participating in the beta evaluation of Constellate may send attendees to our Introduction to Text Analytics course, taught by Nathan Kelber. It is an 8-session, 4-week course. We will run identical sessions (morning and afternoon) on Tuesdays and Thursdays in May.
The sessions will start at 10 am and 3:30 pm Eastern (see below for time conversions).
|Week 1||Tue, May 4||Why Learn Text Mining?||60 minutes|
|Thu, May 6||Python Basics I||90 minutes|
|Week 2||Tue, May 11||Python Basics II||90 minutes|
|Thu, May 13||Python Basics III||90 minutes|
|Week 3||Tue, May 18||Exploring Metadata||75 minutes|
|Thu, May 20||Exploring Word Frequencies||75 minutes|
|Week 4||Tue, May 25||Significant Terms (TF-IDF)||75 minutes|
|Thu, May 27||Topic Modeling (LDA)||75 minutes|
For those more experienced folks, feel free to start mid-way through when we begin text analytics work. For those folks who want an introduction to Python first, please start at the beginning.
We will circulate the log-in information for all sessions to all registrants, so if you occasionally need to attend a different time slot, you may. However, as much as possible, it'd be great if you can attend in the time slot you originally chose, so we can provide hands on help for everyone.
Please note, we are going to record all sessions so we can make them available to attendees of the course. We may also publicly share the afternoon session. Feel free to log in with the video off and use a pseudonym when entering the session (email addresses are not visible in the recordings). We will not publicly share the morning session with people who did not sign-up for the class.
Nathan is the Community Engagement Lead for JSTOR Labs and the director of the Text Analysis Pedagogy Institute. In addition to his teaching role with Constellate, he has taught text analysis and digital humanities courses at the University of Maryland, the University of North Carolina at Chapel Hill, and Wayne State University.
Time Zone Conversions
For you convenience, some common time zone conversions for our sessions are below, but please double check for yourself!
|10 am EDT Session||3:30 pm EDT Session|
|9 am in Chicago||2:30 pm in Chicago|
|7 am in Tucson||12:30 pm in Tucson|
|7 am in San Francisco||12:30 pm in San Francisco|
|3 pm in London||8:30 pm in London|
|7:30 pm in New Delhi||1 am in New Delhi (next day)|
|Midnight in Sydney||5:30 am in Sydney (next day)|