{"title":"基于网络评论的高校综合评价体系构建框架","authors":"Xue Li, Qian Wang, Qian Jia, Juan Shi","doi":"10.1109/ROEDUNET.2019.8909610","DOIUrl":null,"url":null,"abstract":"Educational evaluation plays an important guiding role in education reform and development. Establishing a scientific and complete comprehensive evaluation system for colleges and universities is an important means to solve the “baton” problem of education evaluation in China at this stage. A large number of comments on university services published on the Internet, which implicated the potential demand of people and the evaluation of universities. Using big data to mine and analyze users’ opinions and deep-seated needs is of great significance for universities to improve service quality and improve people’s satisfaction with education. This paper proposes the idea of constructing a comprehensive evaluation system for universities based on knowledge graph and big data of online comments. First, through the web crawler technology to obtain online comments data from the online communities, forums and socialized Q&A websites and clean the data. Then, the text data is subjected to entity extraction, relationship extraction, and knowledge fusion to construct a domain knowledge graph of the universities. Finally, use the complex network analysis method to determine the comprehensive evaluation system of universities. This evaluation method is not only an important supplement to the existing university evaluation system, but also can provide new ideas for constructing scientific and objective educational evaluation by using new technology.","PeriodicalId":309683,"journal":{"name":"2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Framework of Constructing University Comprehensive Evaluation System Based on Online Comments\",\"authors\":\"Xue Li, Qian Wang, Qian Jia, Juan Shi\",\"doi\":\"10.1109/ROEDUNET.2019.8909610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Educational evaluation plays an important guiding role in education reform and development. Establishing a scientific and complete comprehensive evaluation system for colleges and universities is an important means to solve the “baton” problem of education evaluation in China at this stage. A large number of comments on university services published on the Internet, which implicated the potential demand of people and the evaluation of universities. Using big data to mine and analyze users’ opinions and deep-seated needs is of great significance for universities to improve service quality and improve people’s satisfaction with education. This paper proposes the idea of constructing a comprehensive evaluation system for universities based on knowledge graph and big data of online comments. First, through the web crawler technology to obtain online comments data from the online communities, forums and socialized Q&A websites and clean the data. Then, the text data is subjected to entity extraction, relationship extraction, and knowledge fusion to construct a domain knowledge graph of the universities. Finally, use the complex network analysis method to determine the comprehensive evaluation system of universities. This evaluation method is not only an important supplement to the existing university evaluation system, but also can provide new ideas for constructing scientific and objective educational evaluation by using new technology.\",\"PeriodicalId\":309683,\"journal\":{\"name\":\"2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROEDUNET.2019.8909610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROEDUNET.2019.8909610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Framework of Constructing University Comprehensive Evaluation System Based on Online Comments
Educational evaluation plays an important guiding role in education reform and development. Establishing a scientific and complete comprehensive evaluation system for colleges and universities is an important means to solve the “baton” problem of education evaluation in China at this stage. A large number of comments on university services published on the Internet, which implicated the potential demand of people and the evaluation of universities. Using big data to mine and analyze users’ opinions and deep-seated needs is of great significance for universities to improve service quality and improve people’s satisfaction with education. This paper proposes the idea of constructing a comprehensive evaluation system for universities based on knowledge graph and big data of online comments. First, through the web crawler technology to obtain online comments data from the online communities, forums and socialized Q&A websites and clean the data. Then, the text data is subjected to entity extraction, relationship extraction, and knowledge fusion to construct a domain knowledge graph of the universities. Finally, use the complex network analysis method to determine the comprehensive evaluation system of universities. This evaluation method is not only an important supplement to the existing university evaluation system, but also can provide new ideas for constructing scientific and objective educational evaluation by using new technology.