{"title":"研究主题表示的趋势","authors":"S. Lakhanpal, Ajay K. Gupta","doi":"10.1109/ICCT56969.2023.10075871","DOIUrl":null,"url":null,"abstract":"In this paper, insights and data analyses are presented for tracking the use of phrases in the representation of key domain areas in scientific publications, over time. A domain refers to a particular branch of scientific knowledge and hence largely defines the main topic or theme of any scientific research paper. These domains can be extracted from scientific publications over a fixed time period. Varied phrases can then be analyzed whether they are representative of the same domain. The representative phrases are then analyzed as to whether they are trending in usage over time or are being phased out. Thus, insights are proposed for a domain to be qualified by its most trending representative phrase. These insights are supported by rigorous data analyses.","PeriodicalId":128100,"journal":{"name":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trends in Research Topic Representation\",\"authors\":\"S. Lakhanpal, Ajay K. Gupta\",\"doi\":\"10.1109/ICCT56969.2023.10075871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, insights and data analyses are presented for tracking the use of phrases in the representation of key domain areas in scientific publications, over time. A domain refers to a particular branch of scientific knowledge and hence largely defines the main topic or theme of any scientific research paper. These domains can be extracted from scientific publications over a fixed time period. Varied phrases can then be analyzed whether they are representative of the same domain. The representative phrases are then analyzed as to whether they are trending in usage over time or are being phased out. Thus, insights are proposed for a domain to be qualified by its most trending representative phrase. These insights are supported by rigorous data analyses.\",\"PeriodicalId\":128100,\"journal\":{\"name\":\"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT56969.2023.10075871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT56969.2023.10075871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, insights and data analyses are presented for tracking the use of phrases in the representation of key domain areas in scientific publications, over time. A domain refers to a particular branch of scientific knowledge and hence largely defines the main topic or theme of any scientific research paper. These domains can be extracted from scientific publications over a fixed time period. Varied phrases can then be analyzed whether they are representative of the same domain. The representative phrases are then analyzed as to whether they are trending in usage over time or are being phased out. Thus, insights are proposed for a domain to be qualified by its most trending representative phrase. These insights are supported by rigorous data analyses.
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