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S. M. Weiss, N. Indurkhya, T. Zhang and F. J. Damerau, “From Textual Information to Numerical Vectors,” In: Text Mining: Predictive Methods for Analysing Unstructured Information, Springer Verlag, 2005, pp. 15-44. http://dx.doi.org/10.1007/978-0-387-34555-0_2

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• TITLE: Using Luhn’s Automatic Abstract Method to Create Graphs of Words for Document Visualization

  AUTHORS: Luiz Cláudio Santos Silva, Renelson Ribeiro Sampaio

  KEYWORDS: Text Visualization; Graph of Words

  JOURNAL NAME: Social Networking, Vol.3 No.2, February 27, 2014

  ABSTRACT: Visualization methods for single documents are either too simple, considering word frequency only, or depend on syntactic and semantic information bases to be more useful. This paper presents an intermediary approach, based on H. P. Luhn’s automatic abstract creation algorithm, and intends to aggregate more information to document visualization than word counting methods do without the need of external sources. The method takes pairs of relevant words and computes the linkage force between them. Relevant words become vertices and links become edges in the resulting graph.