Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models-Reference-Cited by-同舟云学术

Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models

Published:2021-09 Issue: Volume:178 Page:115033
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Body Thomas,Tao Xiaohui,Li Yuefeng,Li Lin,Zhong Ning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

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3. Cubuk, E .D., Zoph, B., Mane, D., Vasudevan, V., & Le, Q. V. (2019). AutoAugment: Learning Augmentation Strategies From Data. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), Long Beach, CA, USA, 2019 (pp. 113–123), Computer Vision Foundation. DOI: 10.1109/CVPR.2019.00020.

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5. Cross-lingual unsupervised sentiment classification with multi-view transfer learning proceedings of the 58th annual meeting of the association for computational linguistics;Fei,2020

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