A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm
Serdica Journal of Computing, Tome 11 (2017) no. 2, pp. 183-198
Cet article a éte moissonné depuis la source Bulgarian Digital Mathematics Library
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.
Keywords:
Clustering, Document Analysis, Web-Based Services
@article{SJC_2017_11_2_a5,
author = {Aleksieva-Petrova, Adelina and Minkov, Emilyan and Petrov, Milen},
title = {A {Web} {Application} for {Text} {Document} {Classification} {Based} on {K-Nearest} {Neighbor} {Algorithm}},
journal = {Serdica Journal of Computing},
pages = {183--198},
year = {2017},
volume = {11},
number = {2},
language = {en},
url = {http://geodesic.mathdoc.fr/item/SJC_2017_11_2_a5/}
}
TY - JOUR AU - Aleksieva-Petrova, Adelina AU - Minkov, Emilyan AU - Petrov, Milen TI - A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm JO - Serdica Journal of Computing PY - 2017 SP - 183 EP - 198 VL - 11 IS - 2 UR - http://geodesic.mathdoc.fr/item/SJC_2017_11_2_a5/ LA - en ID - SJC_2017_11_2_a5 ER -
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Aleksieva-Petrova, Adelina; Minkov, Emilyan; Petrov, Milen. A Web Application for Text Document Classification Based on K-Nearest Neighbor Algorithm. Serdica Journal of Computing, Tome 11 (2017) no. 2, pp. 183-198. http://geodesic.mathdoc.fr/item/SJC_2017_11_2_a5/