A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm (original) (raw)

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