CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis

Abstract

CERM uses sentiment analysis of citation contexts to enrich literature-based discovery. By understanding how papers talk about cited work — positively, negatively, or neutrally — the system can better prioritise candidate hypotheses and surface surprising or underexplored connections.