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Sentiment Classification for Chinese Text Based on Interactive Multitask Learning
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AI
DOI：10.1109/ACCESS.2020.3007889.png)
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摘要
En 中文
In this paper, an interactive multitask learning method for Chinese text sentiment classification is proposed. Here, the classic BiLSTM + attention + CRF model is used to obtain full use of the interaction relationship between tasks, and it simultaneously solves the two tasks of emotional dictionary expansion and sentiment classification. The proposed method divides text sentiment classification and emotional dictionary expansion into primary task and subtask, and it adopts the Enhanced Language Representation with Informative Entities (ERNIE) model as the text representation learning model for the primary task. Then, through the maximum pooling layer and the fully connected layer, the text sentiment classification task is completed. Meanwhile, the classical BiLSTM + attention + CRF model is used to extract emotional words from the text in the subtask. In addition, the multitask information interaction mechanism is used, and the prediction information on the autonomous subtask is fed back into the potential representation of the two tasks. After iterative training, the performance of the two tasks is further optimized. Micro-blogs with COVID-19 are used here as the subject to form the experimental data set. The results demonstrate the superiority of the proposed method over other approaches, and they further verify the superiority of ERNIE over BERT, RoBERTa and XLNet for the sentiment classification of Chinese text.
Keyword:
Multitask learning
information interaction mechanism
emotion classification
emotional dictionary expansion
ERNIE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary基于扩展情感词典的中文微博文本情感分析OAAI
OAAI分享收藏Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews数据驱动的多情感字典集成，用于基于词典的产品评论情感分类
PREAI
分享收藏Exploring overall opinions for document level sentiment classification with structural SVM.png)
MULTIMEDIA SYSTEMS
MULTIMEDIA SYSTEMSIF3.1
PREAI
分享收藏Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary基于扩展情感词典的中文文本情感分析IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏
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