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%0 Conference Proceedings
%T Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
%A Kamruzzaman, Mahammed
%A Kim, Gene
%Y Ku, Lun-Wei
%Y Li, Cheng-Te
%S Proceedings of the 11th International Workshop on Natural Language Processing for Social Media
%D 2023
%8 November
%I Association for Computational Linguistics
%C Bali, Indonesia
%F kamruzzaman-kim-2023-efficient
%R 10.18653/v1/2023.socialnlp-1.2
%U https://aclanthology.org/2023.socialnlp-1.2
%U https://doi.org/10.18653/v1/2023.socialnlp-1.2
%P 9-20

Markdown (Informal)

[Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models](https://aclanthology.org/2023.socialnlp-1.2) (Kamruzzaman & Kim, SocialNLP-WS 2023)

• Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models (Kamruzzaman & Kim, SocialNLP-WS 2023)

ACL

• Mahammed Kamruzzaman and Gene Kim. 2023. Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models. In Proceedings of the 11th International Workshop on Natural Language Processing for Social Media, pages 9–20, Bali, Indonesia. Association for Computational Linguistics.