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Title: A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm
Authors: Aleksieva-Petrova, Adelina
Minkov, Emilyan
Petrov, Milen
Keywords: Clustering
Document Analysis
Web-Based Services
Issue Date: 2017
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 11, No 2, (2017), 183p-198p
Abstract: 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.
ISSN: 1312-6555
Appears in Collections:Volume 11 Number 2

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