Word-Graph Construction Techniques for Context Analysis
DOI:
https://doi.org/10.5281/zenodo.10594263Keywords:
Lexical Network, Graph Based Language Representation, Node Link Structure, Citation Index, ResemblanceAbstract
A Nomo-Word Graph Construction Analysis Method (NWGC-AM) is used to graph let the corresponding construction phrases into essential and non-essential citation groups. NMCS-NR, or Nomo Maximum Common Sub-graph edge resemblance, Maximum Common Subgraph Directed Edge resemblance (MCS-DER), and Maximum Common Subgraph Resemblance. The graph resemblance metrics used in this work are called Undirected Edges Resemblance (MCS-UER). The tests included five distinct classifiers: Random Forest, Naive Bayes, K-Nearest Neighbors (KNN), Decision Trees, and Support Vector Machines (SVM).Four sixty one (361) citations made up the annotated dataset used for the studies. The Decision Tree classifier exhibits superior performance, attaining an accuracy rate of 0.98.
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Copyright (c) 2024 Rafique Yasir, Wu Jue, Mushtaq Muhammad Umer, Atif Nazma
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).