Trend Topic Analysis for Wind Energy Researches: A Data Mining Approach Using Text Mining

Yunus Eroglu, S. Seçkiner
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引用次数: 3

Abstract

This study reviews and analyses the recent research and development and trends in the applications of wind energy and it also discusses and summarizes the topic. We show the usage and the influence of text mining on the different aspects of wind energy systems especially for hot topics and trends of wind energy area. Text mining provides the state of the art in this area that will be a good guidance for future research work. The main results achieved from the study have shown that the text mining technique are adequate for serving as a proof of concept and as a test-bed for deriving requirements for the development of more generally applicable text mining tools and services within wind energy science.
风能研究趋势主题分析:一种基于文本挖掘的数据挖掘方法
本文对近年来风能的研究发展和应用趋势进行了回顾和分析,并对该主题进行了讨论和总结。我们展示了文本挖掘在风能系统的不同方面的使用和影响,特别是风能领域的热点话题和趋势。文本挖掘提供了这一领域的最新技术,将为今后的研究工作提供良好的指导。从研究中获得的主要结果表明,文本挖掘技术足以作为概念的证明,并作为一个测试平台,为风能科学中更普遍适用的文本挖掘工具和服务的开发提供需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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