PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis.

Heng Yang|Chen Zhang|Ke Li


Anthology ID:DBLP:conf/cikm/0008ZL23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:5117-5122
URL:https://doi.org/10.1145/3583780.3614752
DOI:https://doi.org/10.1145/3583780.3614752
DBLP:conf/cikm/0008ZL23
BibTeX:
@inproceedings{yang-2023-pyabsa, author = {Heng Yang and Chen Zhang and Ke Li}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {5117--5122}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614752}, doi = {https://doi.org/10.1145/3583780.3614752} }