A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm
Keywords:Clustering, Document Analysis, Web-Based Services
The paper gives insight on how the text document categorization
problem can be solved and implemented in a software product. On that score, it
specifies how input data are provided, processed and transformed into output
data. The goal of the paper is not only to suggest a simple theoretical solution to
the text document categorization problem but to provide a real-life
implementation as part of a software system.
ACM Computing Classication System (1998): H.3.3, H.3.5, I.7.5.
* The research presented in this paper was partially supported by the project FNI-SU-
2017/80 10-128 (St. Kliment Ohridski University of Sofia, Bulgaria) Secure and re-usable
software architectures for Technology-enhanced learning.