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 …

Extensive research has been conducted on sentiment analysis for software engineering
(SA4SE). Researchers have invested much effort in developing customized tools (eg …

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 …

Sentiment and emotion detection from textual communication records of developers have
various application scenarios in software engineering (SE). However, commonly used off …

Software development is a collaborative task and, hence, involves different persons.
Research has shown the relevance of social aspects in the development team for a …

Recognizing software entities such as library names from free-form text is essential to
enable many software engineering (SE) technologies, such as traceability link recovery …

Sentiment analysis is a popular technique to identify the sentiment of a piece of text. Several
different domains have been targeted by sentiment analysis research, such as Twitter, movie …

Sentiment analysis methods have become popular for investigating human communication,
including discussions related to software projects. Since general-purpose sentiment …

Sentiment analysis (SA) of text-based software artifacts is increasingly used to extract
information for various tasks including providing code suggestions, improving development …