Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 3, December 2015, Pages 182 - 185

Classification of Japanese Documents and Ranking of Representative Documents by Using the Characteristic of the Frequencies of Words

Authors
Jun Kimura, Yasunari Yoshitomi, Masayoshi Tabuse
Corresponding Author
Jun Kimura
Available Online 1 December 2015.
DOI
https://doi.org/10.2991/jrnal.2015.2.3.10How to use a DOI?
Keywords
Clustering, Document classification, Extraction of representative document, Frequency of nouns.
Abstract

We developed a method for classification of Japanese documents and ranking of representative documents by using the characteristic of the frequencies of nouns. A representative document is defined as a document whose feature vector is the closest to the center of gravity of the class in the feature vector space among all documents belonging to the class belonging to the class. The ranking of representative documents is decided in descending order of the number of documents belonging to the class.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
2 - 3
Pages
182 - 185
Publication Date
2015/12/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2015.2.3.10How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jun Kimura
AU  - Yasunari Yoshitomi
AU  - Masayoshi Tabuse
PY  - 2015
DA  - 2015/12/01
TI  - Classification of Japanese Documents and Ranking of Representative Documents by Using the Characteristic of the Frequencies of Words
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 182
EP  - 185
VL  - 2
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.3.10
DO  - https://doi.org/10.2991/jrnal.2015.2.3.10
ID  - Kimura2015
ER  -