Forty Years of Automated Patent Classification

Author:

Yücesoy Kahraman Selen1,Dereli Türkay2,Durmuşoğlu Alptekin1

Affiliation:

1. Department of Industrial Engineering, Gaziantep University, 27310 Gaziantep, Turkey

2. Office of the President, Hasan Kalyoncu University, 27010 Gaziantep, Turkey

Abstract

The continuous development of technology increases the number of new inventions and thus the number of patents. Each new technology is assigned to one of the existing patent classes, otherwise, a new technology must be added to the patent classes. These processes support the development of automated patent classification methods and articles on this subject. For decades, studies have been conducted in the field of automatic patent classification. In this paper, the studies and pat ents published in this field have been evaluated using a bibliometric approach. The most referenced important studies on this subject are examined in detail, the analysis is detailed by making the pioneering authors of the field, journals, countries, assignees, etc., the focal point. The most recent developments in the field have been examined and evaluations have been presented regarding topics that are likely to be studied in the future.

Publisher

World Scientific Pub Co Pte Ltd

Subject

General Medicine,Computer Science (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analyzing Business Model Innovation in Internet Firms: A Bibliometric Study;Journal of Business-to-Business Marketing;2024-05-23

2. Ön eğitimli Bert modeli ile patent sınıflandırılması;Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi;2024-05-20

3. Enhancing patent text classification with Bi-LSTM technique and alpine skiing optimization for improved diagnostic accuracy;Multimedia Tools and Applications;2024-05-08

4. Research on Automatic Classification of Modern Reading Materials in Junior High School Language based on SVM Algorithm;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3