SECite: Analyzing and Summarizing Citations in Software Engineering Literature
SECite evaluates research papers by analyzing how other researchers cite them to find strengths and weaknesses beyond the authors' own claims. It uses a pipeline to extract citations, classifies their sentiment using machine learning, and then generates summaries of positive and negative feedback. This provides a holistic view of scholarly impact.