{"title":"学生调查情绪分析的强化框架:阿拉伯开放大学商科课程个案研究","authors":"M. Atif","doi":"10.4172/2151-6219.1000337","DOIUrl":null,"url":null,"abstract":"We present an enhanced framework for sentiment analysis which can be used for universities to improve student retention, teaching, and facilities. In addition, our proposed framework can be an important source for further analysis and improved decision-making. To best of our knowledge, this is the first work which targets student comments within surveys. We believe that students’ comments are a good source to capture the overall students’ sentiment. Our framework shows 0.8 accuracy when using 4 grams.","PeriodicalId":92484,"journal":{"name":"Business and economics journal","volume":"9 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2151-6219.1000337","citationCount":"13","resultStr":"{\"title\":\"An Enhanced Framework for Sentiment Analysis of Students' Surveys: Arab Open University Business Program Courses Case Study\",\"authors\":\"M. Atif\",\"doi\":\"10.4172/2151-6219.1000337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an enhanced framework for sentiment analysis which can be used for universities to improve student retention, teaching, and facilities. In addition, our proposed framework can be an important source for further analysis and improved decision-making. To best of our knowledge, this is the first work which targets student comments within surveys. We believe that students’ comments are a good source to capture the overall students’ sentiment. Our framework shows 0.8 accuracy when using 4 grams.\",\"PeriodicalId\":92484,\"journal\":{\"name\":\"Business and economics journal\",\"volume\":\"9 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4172/2151-6219.1000337\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business and economics journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2151-6219.1000337\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business and economics journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2151-6219.1000337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Enhanced Framework for Sentiment Analysis of Students' Surveys: Arab Open University Business Program Courses Case Study
We present an enhanced framework for sentiment analysis which can be used for universities to improve student retention, teaching, and facilities. In addition, our proposed framework can be an important source for further analysis and improved decision-making. To best of our knowledge, this is the first work which targets student comments within surveys. We believe that students’ comments are a good source to capture the overall students’ sentiment. Our framework shows 0.8 accuracy when using 4 grams.
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