Social media data have been widely used in natural sciences and social sciences in the
past 5 years, benefiting from the rapid development of deep learning frameworks and Web …

Sentiment analysis is the task of detecting opinions of people from text using techniques of
natural language processing. It is critical in assisting businesses in actively improving their …

Due to the Internet's rapid expansion, social networking sites have emerged as crucial tools
for sharing emotions with the entire globe. Many people share their thoughts or opinions …

Understanding user demand is the basis for enterprises to improve their product quality and
services. Online reviews have become a critical reflection of user demand. In particular …

Sentiment analysis is the technical process of analyzing generated data to detect emotions.
Emotion detection in text data involves identifying the sentiments expressed in the data …

Abstract Named Entity Recognition (NER) is an important component of Natural Language
Processing (NLP) and is a fundamental yet challenging task in text analysis. Recently, NER …

Nowadays, e-learning is a significant learning option, especially in light of the COVID-19
pandemic. However, it is a very challenging task because, in online courses, tutors have no …

Criminal cases often exhibit imbalance and cannot be extended by data augmentation when
classified into attribution types. To solve the problem of unbalance data in offenders' …

Fault diagnosis (FD) of rolling bearings is crucial for ensuring the reliability and safety of
rotating machinery. However, substantial noise interference has caused significant …

The ever-changing market demand accelerates the iterative upgrading of new energy
vehicles, making understanding user requirements crucial for optimizing product strategies …