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On Bi-gram Graph Attributes
2021
Computer and Information Science
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, attributes such as the graph chromatic number and the graph coloring, graph density and graph K-core. We observe a vast domain of tools and algorithms that can be developed on top of the graph
doi:10.5539/cis.v14n3p78
fatcat:s6q4z4kfbzghdhpj3hkearcbcm