Research on Patent Document Classification Based on Deep Learning

DOI

10.2991/aiie-16.2016.71How to use a DOI?

Keywords

deep learning; patent document classification; sparse automatic encoder; deep belief network; softmax

Abstract

Science and technology can be called the first productive force of development, and the patent as an important source of science and technology innovation is getting more and more attention. With the increase in the number of patent applications, followed is patent document classification problem. At present, the patent document classification include artificial method and automatic method, but mostly using the artificial method, which resulted in the classification process is time consuming and not efficient, so the research of patent document classification has the practical significance. In this paper, based on the premise of deep learning, the patent document classification problem is studied.

Copyright

© 2016, 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  - CONF
AU  - Bing Xia
AU  - Baoan LI
AU  - Xueqiang Lv
PY  - 2016/11
DA  - 2016/11
TI  - Research on Patent Document Classification Based on Deep Learning
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 308
EP  - 311
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.71
DO  - 10.2991/aiie-16.2016.71
ID  - Xia2016/11
ER  -