{"title":"基于回归分析的文学作品欣赏评价话语分析模型","authors":"Mei Liu","doi":"10.1109/icaie50891.2020.00121","DOIUrl":null,"url":null,"abstract":"The discourse analysis model is applied in literary works reading, based on the theory of critical discourse analysis. Strategies of guessing predetermined information and distinguishing facts and opinions are adopted to help readers integrating text information, to achieve the goals of building their own cognitive scripts, and improving appreciation of literary works. The effect of this model is evaluated by regressive analysis.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Discourse Analysis Model for Literary Works Appreciation and Evaluation by Regressive Analysis\",\"authors\":\"Mei Liu\",\"doi\":\"10.1109/icaie50891.2020.00121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The discourse analysis model is applied in literary works reading, based on the theory of critical discourse analysis. Strategies of guessing predetermined information and distinguishing facts and opinions are adopted to help readers integrating text information, to achieve the goals of building their own cognitive scripts, and improving appreciation of literary works. The effect of this model is evaluated by regressive analysis.\",\"PeriodicalId\":164823,\"journal\":{\"name\":\"2020 International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaie50891.2020.00121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaie50891.2020.00121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discourse Analysis Model for Literary Works Appreciation and Evaluation by Regressive Analysis
The discourse analysis model is applied in literary works reading, based on the theory of critical discourse analysis. Strategies of guessing predetermined information and distinguishing facts and opinions are adopted to help readers integrating text information, to achieve the goals of building their own cognitive scripts, and improving appreciation of literary works. The effect of this model is evaluated by regressive analysis.
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