AB-LaBSE: Uyghur Sentiment Analysis via the Pre-Training Model with BiLSTM

• Published in: Applied sciences Vol. 12; no. 3; p. 1182
• Main Authors: Pei, Yijie, Chen, Siqi, Ke, Zunwang, Silamu, Wushour, Guo, Qinglang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Accuracy; BiLSTM; cross-lingual pre-trained language model; data augmentation; Datasets; Deep learning; Dictionaries; Language; low-resource; Machine learning; Methods; Neural networks; Semantics; Sentiment analysis; Sparsity

In recent years, more and more attention has been paid to text sentiment analysis, which has gradually become a research hotspot in information extraction, data mining, Natural Language Processing (NLP), and other fields. With the gradual popularization of the Internet, sentiment analysis of Uyghur...