Building of Networks of Natural Hierarchies of Terms Based on Analysis of Texts Corpora
Dmitry Lande

TL;DR
This paper presents a novel technique for constructing hierarchical networks of terms from text corpora using horizontal visibility graphs, demonstrated on arXiv preprints related to information retrieval.
Contribution
It introduces a new method for building hierarchical language networks based on horizontal visibility graphs, applied to scientific text corpora.
Findings
Successfully constructed and analyzed language networks from arXiv preprints.
Demonstrated the applicability of the method to information retrieval texts.
Provided insights into the hierarchical structure of scientific terminology.
Abstract
The technique of building of networks of hierarchies of terms based on the analysis of chosen text corpora is offered. The technique is based on the methodology of horizontal visibility graphs. Constructed and investigated language network, formed on the basis of electronic preprints arXiv on topics of information retrieval.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Text Analysis Techniques · Natural Language Processing Techniques · Semantic Web and Ontologies
