Taxonomy Generation and Dynamic Document Organization
Usman Qamar and
Muhammad Summair Raza
Additional contact information
Usman Qamar: National University of Sciences and Technology (NUST)
Muhammad Summair Raza: University of Sargodha, Department of Software Engineering
Chapter 8 in Applied Text Mining, 2024, pp 267-309 from Springer
Abstract:
Abstract This chapter is about taxonomy generation and dynamic document organization. The taxonomy generation refers to the automatic category predefinition of the text. It is the process of generating topics or concepts and their relations from a given corpus. The chapter explains process details, examples, and provides a complete description of the accompanied Python source code.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-51917-8_8
Ordering information: This item can be ordered from
http://www.springer.com/9783031519178
DOI: 10.1007/978-3-031-51917-8_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().