Word Embedding Models in Python
Word Embedding Models in Python In-Person
Learn how to track a word's semantic meaning over time with word embedding models. This workshop will introduce "word embeddings," also known as vectorized representations of words, to show how they can be used to study patterns of linguistic similarity within and across text documents. In addition to discussing what word embeddings are and why you might want to use them, we will also look at how you can create and visualize them using the Python programming language.
This workshop is designed for participants who have taken or worked through the materials for the Python for Humanists workshop series or who have some experience working with a programming language.
This workshop is open to all Yale students, faculty, and staff, but space is limited.
Participants are required to bring a laptop with Anaconda 3.7 already installed to the workshop.
Instructors: Douglas Duhaime (DHLab) and Joshua Dull (DHLab)
- Friday, November 1, 2019
- 1:30pm - 3:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Franke Family Digital Humanities Laboratory
- Central Campus
- Digital Humanities Faculty Graduate Students Undergraduate Students