Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization

Francesca Vera


Anthology ID:
2021.findings-acl.33
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
382–389
Language:
URL:
https://aclanthology.org/2021.findings-acl.33
DOI:
10.18653/v1/2021.findings-acl.33
Bibkey:
Cite (ACL):
Francesca Vera. 2021. Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 382–389, Online. Association for Computational Linguistics.
Cite (Informal):
Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization (Vera, Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.33.pdf