{"title":"《经济与统计杂志》50年摘要","authors":"Julie Djiriguian, François Sémécurbe","doi":"10.24187/ecostat.2019.510t.1999","DOIUrl":null,"url":null,"abstract":"Natural language processing, is nowadays a toolbox routinely used to explore the content of various texts. On the occasion of the 50th anniversary of the journal Économie et Statistique (then Economie et Statistique / Economics and Statistics), we propose in this short article an application to the abstracts of the 2,184 “academic” articles published in this journal since 1969 (see Box). Which words are most frequently used? What underlying topics do they suggest and have these topics changed over the years?","PeriodicalId":38830,"journal":{"name":"Economie et Statistique","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fifty Years of Abstracts in the Journal Economie et Statistique\",\"authors\":\"Julie Djiriguian, François Sémécurbe\",\"doi\":\"10.24187/ecostat.2019.510t.1999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural language processing, is nowadays a toolbox routinely used to explore the content of various texts. On the occasion of the 50th anniversary of the journal Économie et Statistique (then Economie et Statistique / Economics and Statistics), we propose in this short article an application to the abstracts of the 2,184 “academic” articles published in this journal since 1969 (see Box). Which words are most frequently used? What underlying topics do they suggest and have these topics changed over the years?\",\"PeriodicalId\":38830,\"journal\":{\"name\":\"Economie et Statistique\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economie et Statistique\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24187/ecostat.2019.510t.1999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economie et Statistique","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24187/ecostat.2019.510t.1999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
摘要
如今，自然语言处理是一种常规用于探索各种文本内容的工具箱。在《Économie et statisque》(当时的《Economie et statisque》/《经济与统计》)杂志创刊50周年之际，我们在这篇短文中提出一个应用程序，对该杂志自1969年以来发表的2184篇“学术”文章的摘要进行分析。哪些词最常用?它们暗示了什么潜在的主题，这些主题在这些年里发生了变化吗?
Fifty Years of Abstracts in the Journal Economie et Statistique
Natural language processing, is nowadays a toolbox routinely used to explore the content of various texts. On the occasion of the 50th anniversary of the journal Économie et Statistique (then Economie et Statistique / Economics and Statistics), we propose in this short article an application to the abstracts of the 2,184 “academic” articles published in this journal since 1969 (see Box). Which words are most frequently used? What underlying topics do they suggest and have these topics changed over the years?
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