{"title":"战略规划文件文本分析研究(以摩尔曼斯克地区社会经济发展战略为例)","authors":"N. Roslyakova, E. Kanevsky, K. Boyarsky","doi":"10.52897/978-5-7310-5861-2-2022-16-1-152-163","DOIUrl":null,"url":null,"abstract":"The paper raises the issue of automatic analysis of texts of strategic planning documents. Moreover, the text analyzer should allow for meaningful analysis, and not be limited to comparing the values of planned and actual indicators of the document. Therefore, the use of a content analyzer and a semantic-syntactic parser allows both deep analysis of the document text and providing various forms of presentation of results, which solves the tasks.","PeriodicalId":436799,"journal":{"name":"Collection of scientific articles","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of strategic planning documents by text ana-lyzers (on the example of the Strategy of socio-economic development of the Murmansk region)\",\"authors\":\"N. Roslyakova, E. Kanevsky, K. Boyarsky\",\"doi\":\"10.52897/978-5-7310-5861-2-2022-16-1-152-163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper raises the issue of automatic analysis of texts of strategic planning documents. Moreover, the text analyzer should allow for meaningful analysis, and not be limited to comparing the values of planned and actual indicators of the document. Therefore, the use of a content analyzer and a semantic-syntactic parser allows both deep analysis of the document text and providing various forms of presentation of results, which solves the tasks.\",\"PeriodicalId\":436799,\"journal\":{\"name\":\"Collection of scientific articles\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Collection of scientific articles\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52897/978-5-7310-5861-2-2022-16-1-152-163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collection of scientific articles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52897/978-5-7310-5861-2-2022-16-1-152-163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of strategic planning documents by text ana-lyzers (on the example of the Strategy of socio-economic development of the Murmansk region)
The paper raises the issue of automatic analysis of texts of strategic planning documents. Moreover, the text analyzer should allow for meaningful analysis, and not be limited to comparing the values of planned and actual indicators of the document. Therefore, the use of a content analyzer and a semantic-syntactic parser allows both deep analysis of the document text and providing various forms of presentation of results, which solves the tasks.