Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

Context: Software development is a collaborative task. Previous research has shown social
aspects within development teams to be highly relevant for the success of software projects …

Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …

The role of sentiment analysis is increasingly emerging to study software developers'
emotions by mining crowd-generated content within software repositories and information …

Sentiment analysis has been applied to various software engineering (SE) tasks, such as
evaluating app reviews or analyzing developers' emotions in commit messages. Studies …

Online toxicity is ubiquitous across the internet and its negative impact on the people and
that online communities that it effects has been well documented. However, toxicity …

Automated sentiment analysis in software engineering textual artifacts has long been
suffering from inaccuracies in those few tools available for the purpose. We conduct an in …

With the rise of the Mining Software Repositories (MSR) field, defect datasets extracted from
software repositories play a foundational role in many empirical studies related to software …

The software development process produces vast amounts of textual data expressed in
natural language. Outcomes from the natural language processing community have been …

With the emergence of social media that includes billions of people from around of the world
interacting and sharing data, information, feelings and opinions among themselves on …