Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment
analysis (ABSA) that aims to comprehensively identify sentiment triplets. Previous research …

Although deep neural networks are excellent for text sentiment analysis, their applications in
real-world practice are occasionally limited owing to their black-box property. In this study …

Neural networks have a remarkable capacity for contextual processing--using recent or
nearby inputs to modify processing of current input. For example, in natural language …

We address the task of identifying euphemistic abuse (eg “You inspire me to fall asleep”)
paraphrasing simple explicitly abusive utterances (eg “You are boring”). For this task, we …

Word-level contextual sentiment analysis (WCSA) is an important task for mining reviews or
opinions. When analyzing this type of sentiment in the industry, both the interpretability and …

The sentiment polarity of a phrase does not only depend on the polarities of its words, but
also on how these are affected by their context. Negation words (eg not, no, never) can …

Sentiment composition is a fundamental sentiment analysis problem. Previous work relied
on manual rules and manually-created lexical resources such as negator lists, or learned a …

Alleviating pain is good and abandoning hope is bad. We instinctively understand how
words like alleviate and abandon affect the polarity of a phrase, inverting or weakening it …

This paper describes two different approaches to sentiment analysis. The first is a form of
symbolic approach that exploits a sentiment lexicon together with a set of shifter patterns …

Although deep neural networks are excellent for text sentiment analysis, their applications in
real-world practice are occasionally limited owing to their black-box property. In response …