The research assesses local government debt risks in China with deep learning methods.
We perform natural language processing and sentiment classification on all publicly …

Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual
framework and terminology for a unified, quantitative–qualitative methodology. Our living …

Sentiment analysis is the most effective way to understand opinions presented in digital
media. Social sense is the concept of understanding every user's emotions connected …

The communicative effects of disintermediation caused by social media promote the
expansion of personalist and emotional political discourses that reach the audience directly …

Social media platforms have revolutionized the engagement between climate non-
governmental organizations (hereafter, NGOs) and their publics on climate issues. This …

Studying interactions faces methodological challenges and existing methods, such as
configural diagramming, have limitations. This work demonstrates Epistemic Network …

Segmentation is a crucial step in analyses of qualitative data where code or code co-
occurrence frequencies are of interest. Decisions about how best to segment are inextricably …

Teachers turn to many sources for support and professional learning, including social media-
based communities that have shown promise to help teachers access resources and …

Educational researchers have pointed to socioemotional dimensions of learning as
important in gaining a more nuanced description of student engagement and learning …

Simply placing learners in computer-supported collaborative learning environments cannot
result in successful collaborative learning. To investigate how collaborative learning …