Opinion Mining for Software Development: A Systematic Literature Review

Opinion mining, sometimes referred to as sentiment analysis, has gained increasing attention in software engineering (SE) studies. SE researchers have applied opinion mining techniques in various contexts, such as identifying developers’ emotions expressed in code comments and extracting users’ critics toward mobile apps. Given the large amount of relevant studies available, it can take considerable time for researchers and developers to figure out which approaches they can adopt in their own studies and what perils these approaches entail. We conducted a systematic literature review involving 185 papers. More specifically, we present 1) well-defined categories of opinion mining-related software development activities, 2) available opinion mining approaches, whether they are evaluated when adopted in other studies, and how their performance is compared, 3) available datasets for performance evaluation and tool customization, and 4) concerns or limitations SE researchers might need to take into account when applying/customizing these opinion mining techniques. The results of our study serve as references to choose suitable opinion mining tools for software development activities, and provide critical insights for the further development of opinion mining techniques in the SE domain

Political Leaders’ Communication Style and Public Perceptions: Case of the COVID-19 Crisis

In this study, we examine the political leaders’ communication style and its influence on the public behaviour about the COVID-19 crisis. We attempt to achieve our research objective by investigating the cases of Lee Hsien Loong in Singapore and Donald Trump in the United States (US). Using an inductive theory-building approach, nested multi-case study research design, we explore the relationship between political leaders’ communication style and public behaviour about COVID-19 crisis from a communication-centred perspective. We collect both social media data from political leaders and individual check-in data from Singapore and US from January to June 2020. By adopting two-stage analysis, we find that Lee Hsien Loong’s use of “engaging” communication style in preventing the spread of COVID-19 led to a more significant decrease of the public movement in comparison to Donald Trump’s use of “champion of the people” communication style