Project Description

The Citation Sentiment Analysis System is a cutting-edge tool designed to analyze the sentiment behind citations in academic texts. Unlike traditional citation analysis, which focuses mainly on citation counts, this system delves deeper by identifying and categorizing the sentiments expressed in citations, whether they are positive, negative, or neutral. It looks specifically at various aspects of the referenced works, such as methodology, results, or significance, providing a more nuanced view of how academic contributions are perceived within the scholarly community.

By using advanced NLP and a domain-adaptive training framework to extract and analyze citation sentiments from academic documents. This helps researchers, institutions, and publishers gain accurate insights into citation trends, improving the evaluation of scholarly works and supporting better decision-making in academic research.