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arXiv · 2107.02128

On Bi-gram Graph Attributes

Thomas Konstantinovsky·Matan Mizrachi
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Abstract

We propose a new approach to text semantic analysis and general corpus analysis using, as termed in this article, a "bi-gram graph" representation of a corpus. The different attributes derived from graph theory are measured and analyzed as unique insights or against other corpus graphs. We observe a vast domain of tools and algorithms that can be developed on top of the graph representation; creating such a graph proves to be computationally cheap, and much of the heavy lifting is achieved via basic graph calculations. Furthermore, we showcase the different use-cases for the bi-gram graphs and how scalable it proves to be when dealing with large datasets.

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Thomas Konstantinovsky, Matan Mizrachi. 2021-07-05. On Bi-gram Graph Attributes. https://doi.org/10.5539/cis.v14n3p78

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