{"title":"Research on Keyword Selection and Usage in Scientific Papers","authors":"Yuqing Li, Yu-hong Cao","doi":"10.1109/ICNISC57059.2022.00040","DOIUrl":null,"url":null,"abstract":"With the rapid development of the Internet, search engines have become the main way for researchers to obtain academic literature. In order to keep up with the research hotspots in a certain field, and to make our papers easier to be located, downloaded, read and cited by academic peers, it is particularly important to select reasonable keywords for the papers. This paper firstly clarifies the concept of keywords. Next, the basic principles of keyword selection are expounded. It is necessary to maintain the inheritance and also take into account the innovation. The keywords of the paper should include thematic keywords, process keywords and conclusive keywords as much as possible. According to the basic principles of keyword selection, 12 rules that should be followed and avoided in keyword selection are summarized. On this basis, the paper analyzes and discusses how to choose reasonable keywords. Finally, the keywords of research papers in the field of computer science are analyzed using traditional word frequency statistics and semi-supervised learning methods. Based on the analysis results, the usage of paper keywords in the prediction of scientific research hotspots is discussed.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC57059.2022.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of the Internet, search engines have become the main way for researchers to obtain academic literature. In order to keep up with the research hotspots in a certain field, and to make our papers easier to be located, downloaded, read and cited by academic peers, it is particularly important to select reasonable keywords for the papers. This paper firstly clarifies the concept of keywords. Next, the basic principles of keyword selection are expounded. It is necessary to maintain the inheritance and also take into account the innovation. The keywords of the paper should include thematic keywords, process keywords and conclusive keywords as much as possible. According to the basic principles of keyword selection, 12 rules that should be followed and avoided in keyword selection are summarized. On this basis, the paper analyzes and discusses how to choose reasonable keywords. Finally, the keywords of research papers in the field of computer science are analyzed using traditional word frequency statistics and semi-supervised learning methods. Based on the analysis results, the usage of paper keywords in the prediction of scientific research hotspots is discussed.