TextRank: Bringing Order into Texts

In this paper, we introduce TextRank - a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications. In particular, we propose two innova- tive unsupervised methods for keyword and sentence extraction, and show that the results obtained com- pare favorably with previously published results on established benchmarks.