{"title":"社会评分中人心理状态切割形成的内容监测方法","authors":"L. Chyrun, Yaroslav Kis, V. Vysotska, L. Chyrun","doi":"10.1109/STC-CSIT.2018.8526624","DOIUrl":null,"url":null,"abstract":"Content monitoring is a process for an automated identification of important linguistic components in the Web content stream. This is semantic analysis of content streams with the purpose of obtaining the necessary qualitative/quantitative insights for an undefined period. The key constituent parts of content monitoring are content search and text content analysis. Content analysis is designed to search for relevant information in a set of content using linguistic semantic units. This unit of account is a quantitative measure of the analysis unit that allows recording the specific analysis criteria appearance frequency in the text (quantity of characters., lines., paragraphs., pages., copyright sheets., certain words or word combinations., text amount., etc.). The content analysis use in monitoring Internet information sources automates the process of finding the most important components in Web content streams while selecting data from these sources. This eliminates the information pollution., redundant results of content reservation., duplicate content., and more. This method is used in subsequent stages of semantic analysis for producing accurate results to further facilitate creation of unique content that is in demand. Based content monitoring content monitoring method for cut formation of person psychological state in social scoring is developed.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Content Monitoring Method for Cut Formation of Person Psychological State in Social Scoring\",\"authors\":\"L. Chyrun, Yaroslav Kis, V. Vysotska, L. Chyrun\",\"doi\":\"10.1109/STC-CSIT.2018.8526624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Content monitoring is a process for an automated identification of important linguistic components in the Web content stream. This is semantic analysis of content streams with the purpose of obtaining the necessary qualitative/quantitative insights for an undefined period. The key constituent parts of content monitoring are content search and text content analysis. Content analysis is designed to search for relevant information in a set of content using linguistic semantic units. This unit of account is a quantitative measure of the analysis unit that allows recording the specific analysis criteria appearance frequency in the text (quantity of characters., lines., paragraphs., pages., copyright sheets., certain words or word combinations., text amount., etc.). The content analysis use in monitoring Internet information sources automates the process of finding the most important components in Web content streams while selecting data from these sources. This eliminates the information pollution., redundant results of content reservation., duplicate content., and more. This method is used in subsequent stages of semantic analysis for producing accurate results to further facilitate creation of unique content that is in demand. Based content monitoring content monitoring method for cut formation of person psychological state in social scoring is developed.\",\"PeriodicalId\":403793,\"journal\":{\"name\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2018.8526624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Content Monitoring Method for Cut Formation of Person Psychological State in Social Scoring
Content monitoring is a process for an automated identification of important linguistic components in the Web content stream. This is semantic analysis of content streams with the purpose of obtaining the necessary qualitative/quantitative insights for an undefined period. The key constituent parts of content monitoring are content search and text content analysis. Content analysis is designed to search for relevant information in a set of content using linguistic semantic units. This unit of account is a quantitative measure of the analysis unit that allows recording the specific analysis criteria appearance frequency in the text (quantity of characters., lines., paragraphs., pages., copyright sheets., certain words or word combinations., text amount., etc.). The content analysis use in monitoring Internet information sources automates the process of finding the most important components in Web content streams while selecting data from these sources. This eliminates the information pollution., redundant results of content reservation., duplicate content., and more. This method is used in subsequent stages of semantic analysis for producing accurate results to further facilitate creation of unique content that is in demand. Based content monitoring content monitoring method for cut formation of person psychological state in social scoring is developed.