{"title":"解释问答题因子分数的估计","authors":"Yuya Yokoyama, T. Hochin, Hiroki Nomiya, T. Satoh","doi":"10.1109/SNPD.2012.52","DOIUrl":null,"url":null,"abstract":"In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements have been tried to be estimated by using multiple regression analysis from feature values of statements. By adopting syntactic information of statements, word imageability and closing sentence expressions as the feature values, all the factor scores were well estimated. This paper tries to explain the estimation result with major feature values. The explanation is confirmed by comparing the features of the statements having high and low factor scores with the major features.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Explaining Estimation of Factor Scores of Question and Answer Statements\",\"authors\":\"Yuya Yokoyama, T. Hochin, Hiroki Nomiya, T. Satoh\",\"doi\":\"10.1109/SNPD.2012.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements have been tried to be estimated by using multiple regression analysis from feature values of statements. By adopting syntactic information of statements, word imageability and closing sentence expressions as the feature values, all the factor scores were well estimated. This paper tries to explain the estimation result with major feature values. The explanation is confirmed by comparing the features of the statements having high and low factor scores with the major features.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Explaining Estimation of Factor Scores of Question and Answer Statements
In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements have been tried to be estimated by using multiple regression analysis from feature values of statements. By adopting syntactic information of statements, word imageability and closing sentence expressions as the feature values, all the factor scores were well estimated. This paper tries to explain the estimation result with major feature values. The explanation is confirmed by comparing the features of the statements having high and low factor scores with the major features.