Tailored text augmentation for sentiment analysis

• المؤلفون الرئيسيون: Feng, Zijian, Zhou, Hanzhang, Zhu, Zixiao, Mao, Kezhi
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Sentiment Analysis; Text Augmentation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162087

In synonym replacement-based data augmentation techniques for natural language processing tasks, words in a sentence are often sampled randomly with equal probability. In this paper, we propose a novel data augmentation technique named Tailored Text Argumentation (TTA) for sentiment analysis. It has...