The trustworthiness of machine learning has emerged as a critical topic in the field,
encompassing various applications and research areas such as robustness, security …

While sentiment analysis systems try to determine the sentiment polarities of given targets
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …

With the development of industry and manufacturing, the mechanical structures of
equipment have become intricate and complex. Due to the interaction between components …

Under the context of the increasing social demand for fine-grained sentiment analysis (SA),
implicit sentiment analysis (ISA) poses a significant challenge owing to the absence of …

Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has
received much attention recently. Many works investigate sentiment information through …

Aspect-based sentiment analysis (ABSA) has been widely studied since the explosive
growth of social networking services. However, the recognition of implicit sentiments that do …

Large language models (LLMs) often generate biased outputs containing offensive, toxic, or
stereotypical text. Existing LLM alignment methods such as reinforcement learning from …

Most implicit sentiment sentences in aspect level implicit sentiment analysis lack emotional
words, but there are still potential emotional clues. Current research mainly utilizes …

Empathetic response generation is a desirable aspect of conversational agents, crucial for
facilitating engaging and emotionally intelligent multi-turn conversations between humans …

Implicit sentiment analysis (ISA) presents significant challenges due to the absence of
salient cue words. Previous methods have struggled with insufficient data and limited …