{"title":"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","authors":"Yunus Eroglu, S. Seçkiner","doi":"10.6000/1929-6002.2016.05.02.2","DOIUrl":null,"url":null,"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.","PeriodicalId":394478,"journal":{"name":"Journal of Technology Innovations in Renewable Energy","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Trend Topic Analysis for Wind Energy Researches: A Data Mining Approach Using Text Mining\",\"authors\":\"Yunus Eroglu, S. Seçkiner\",\"doi\":\"10.6000/1929-6002.2016.05.02.2\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":394478,\"journal\":{\"name\":\"Journal of Technology Innovations in Renewable Energy\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Technology Innovations in Renewable Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6000/1929-6002.2016.05.02.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Technology Innovations in Renewable Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6000/1929-6002.2016.05.02.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trend Topic Analysis for Wind Energy Researches: A Data Mining Approach Using Text Mining
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.