CLSIAug 24, 2015

A Framework for Comparing Groups of Documents

arXiv:1508.05902v120 citations
Originality Synthesis-oriented
AI Analysis

This provides a general method for document comparison, but it appears incremental as it builds on existing graph-based approaches without claiming major breakthroughs.

The paper tackles the problem of comparing multiple groups of documents by proposing a bipartite graph model to represent document groups and comparison criteria, and it demonstrates the framework's versatility through an analysis of NSF funding programs for basic research.

We present a general framework for comparing multiple groups of documents. A bipartite graph model is proposed where document groups are represented as one node set and the comparison criteria are represented as the other node set. Using this model, we present basic algorithms to extract insights into similarities and differences among the document groups. Finally, we demonstrate the versatility of our framework through an analysis of NSF funding programs for basic research.

Foundations

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