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

DOI

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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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  - 10.2991/jrnal.2015.2.3.10
ID  - Kimura2015
ER  -