Social media slang, encompassing informal language, words, phrases, and acronyms on
digital platforms, reflects the dynamic nature of online communication. Analyzing social …

In this paper, we aim to build the global convergence theory of encoder-only shallow
Transformers under a realistic setting from the perspective of architectures, initialization, and …

An efficient algorithm model is proposed to achieve good performance for gas detection
based on electronic nose (E-nose) system. Transformer Encoder (TE) has been widely used …

Accurate semantic illustrations of text data and conclusive information extraction are major
strides towards correct computation of sentence meaning, particularly for figurative …

As an important task of natural language processing, chinese text sentiment analysis aims to
analyze the comprehensive sentiment polarity of chinese text. With the emergence of …

The spam content detection problem is still challenging due to its complexity, feature
extraction process, language, context-aware detection capabilities, performance, and …

The adoption of electronic health records (EHR) has become universal during the past
decade, which has afforded in-depth data-based research. By learning from the large …

Huge amounts of text data are produced every day. Processing text data that accumulates
and grows exponentially every day requires the use of appropriate automation tools. Text …

A fashion collocation recommendation model is a useful tool to enhance customer
experiences and increase cross-selling in e-commerce. Prior research efforts focus on using …

Recently, social networks have experienced an exponential growth, providing online users
with a venue for expressing and sharing their views in a variety of areas. A very popular …