TextRank

Year: 2,004
Journal: Conference on Empirical Methods in Natural Language Processing
Languages: All Languages
Programming languages: Python
Input data:

Plain text

Output data:

vertices, keywords, sentences

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

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