{"title":"社交媒体评论对众筹项目成功的影响研究","authors":"Long-Sheng Chen, Ying-Jung Chuang","doi":"10.1109/ICAwST.2019.8923411","DOIUrl":null,"url":null,"abstract":"Crowdfunding has become one of the important channels of getting fund for many start-ups. But, the low success rate has been a critical issue. Therefore, how to increase the success rate of fundraising projects is one of the main concerns of all fundraising activities. This work aims to study the effect of sentiment of reviews for the success of crowdfunding projects. We will use data mining and text mining to analyze the collected data. Least absolute shrinkage and selection operator (LASSO) and back-propagation networks (BPN) based feature selection will be employed to find the important factors for the success of crowdfunding projects. Next, support vector machines (SVM) will be employed to evaluate the performance of selected factors set. Experiment results can help fundraisers to increase the success rate of crowdfunding projects.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"28 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Study of Social Media Reviews Effects on the Success of Crowdfunding Projects\",\"authors\":\"Long-Sheng Chen, Ying-Jung Chuang\",\"doi\":\"10.1109/ICAwST.2019.8923411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Crowdfunding has become one of the important channels of getting fund for many start-ups. But, the low success rate has been a critical issue. Therefore, how to increase the success rate of fundraising projects is one of the main concerns of all fundraising activities. This work aims to study the effect of sentiment of reviews for the success of crowdfunding projects. We will use data mining and text mining to analyze the collected data. Least absolute shrinkage and selection operator (LASSO) and back-propagation networks (BPN) based feature selection will be employed to find the important factors for the success of crowdfunding projects. Next, support vector machines (SVM) will be employed to evaluate the performance of selected factors set. Experiment results can help fundraisers to increase the success rate of crowdfunding projects.\",\"PeriodicalId\":156538,\"journal\":{\"name\":\"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)\",\"volume\":\"28 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAwST.2019.8923411\",\"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 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAwST.2019.8923411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study of Social Media Reviews Effects on the Success of Crowdfunding Projects
Crowdfunding has become one of the important channels of getting fund for many start-ups. But, the low success rate has been a critical issue. Therefore, how to increase the success rate of fundraising projects is one of the main concerns of all fundraising activities. This work aims to study the effect of sentiment of reviews for the success of crowdfunding projects. We will use data mining and text mining to analyze the collected data. Least absolute shrinkage and selection operator (LASSO) and back-propagation networks (BPN) based feature selection will be employed to find the important factors for the success of crowdfunding projects. Next, support vector machines (SVM) will be employed to evaluate the performance of selected factors set. Experiment results can help fundraisers to increase the success rate of crowdfunding projects.