Mining the emotions in the text related to mental health-care oriented is a challenging
aspect, especially dealing with a long-text sequence of data. The extraction of emotions …

Recent advancements in natural language processing (NLP) methods have significantly
improved their performance. However, more complex NLP models are more difficult to …

This paper studied the sentiment on the 45th President of the United States in the news
using a new entity sentiment analysis model called Negative Sentiment Smoothing Model …

Emotion recognition is a fundamental aspect of human communication and plays a crucial
role in various domains. This project aims at developing an efficient model for real-time …

ABSTRACT Real-time logistics (RTL), which is mainly organized by crowdsourcing, has
grown rapidly in recent years. Crowdsourcing riders are the main undertakers of RTL. This …

To address the shortcomings of existing deep learning models and the characteristics of
microblog speech, we propose the DCCMM model to improve the effectiveness of microblog …

This research investigates the impact of applying neuromarketing techniques to three
practical examples of higher education (HE) branding: an official college website page, an …

Patent citations received by a paper are considered one of the most appropriate indicators
for quantifying the technological impact of scientific research. In light of the large number of …

Students often experience various feelings when facing a new semester. Feelings such as
anxiety, fear, and excitement can occur when students take classes in online learning. As a …

Online reviews regarding different products or services have become the main source to
determine public opinions. Consequently, manufacturers and sellers are extremely …