An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College

Adam Poliak, Jalisha Jenifer


Abstract
We provide an overview of a new Computational Text Analysis course that will be taught at Barnard College over a six week period in May and June 2021. The course is targeted to non Computer Science at a Liberal Arts college that wish to incorporate fundamental Natural Language Processing tools in their re- search and studies. During the course, students will complete daily programming tutorials, read and review contemporary research papers, and propose and develop independent research projects.
Anthology ID:
2021.teachingnlp-1.15
Volume:
Proceedings of the Fifth Workshop on Teaching NLP
Month:
June
Year:
2021
Address:
Online
Editors:
David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
Venue:
TeachingNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
92–95
Language:
URL:
https://aclanthology.org/2021.teachingnlp-1.15
DOI:
10.18653/v1/2021.teachingnlp-1.15
Bibkey:
Cite (ACL):
Adam Poliak and Jalisha Jenifer. 2021. An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College. In Proceedings of the Fifth Workshop on Teaching NLP, pages 92–95, Online. Association for Computational Linguistics.
Cite (Informal):
An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College (Poliak & Jenifer, TeachingNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.teachingnlp-1.15.pdf