There are a lot of linguistic knowledge and sentiment resources nowadays, but in the current
research with deep learning framework, these kinds of unique sentiment information are not …

In this digital era, people are increasingly sharing their opinions in online review sites, and
vast amounts of customer feedback are generated daily. Many customers make use of these …

情感分析是指利用计算机自动分析确定人们所要表达的情感, 其在人机交互和刑侦破案等领域都
能发挥重大作用. 深度学**和传统特征提取算法的进步为利用多种模态进行情感分析提供了条件 …

BERT, a boon to natural language understanding, extracts the context information of words
and forms the basis of the newly-designed sentiment classification framework for Chinese …

With the wide application of the Internet and the rapid development of network technology,
microblogs and online shop** platforms are playing an increasingly important role in …

Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained
wide recognition in the field of natural language processing. However, due to the pre-and …

Existing sentiment analysis research on Chinese government affairs microblogs primarily
focuses on the task of sentiment classification on microblogs. There has been a lack of …

Spectrum sensing technology is a crucial aspect of modern communication technology,
serving as one of the essential techniques for efficiently utilizing scarce information …

Cyberbullying is a common and harmful social problem. The existing cyberbullying
detections used traditional machine learning and deep learning algorithms to extract text …

Microblog sentiment analysis has important applications in many fields, such as social
media analysis and online product reviews. However, the traditional methods may be …