An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College
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
- 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)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2021.teachingnlp-1.15.pdf