{"title":"面向汽车定制的VR技术及其反馈分析","authors":"P. Ghadekar, Khushi Jhanwar, Ameya Karpe, Tanishka Shetty, Akash Sivanandan, Prannay Khushalani","doi":"10.1109/AICAPS57044.2023.10074233","DOIUrl":null,"url":null,"abstract":"One of the main agendas behind any business is understanding their customer's views about their products. In the proposed model text analysis is performed on the feedback which is given on the VR model of a car customization application. This application is built in Unity with help of its XR toolkit. The text analysis is done using NLTK and Scikit learn. This text analysis will be based on multiple options provided by the VR model. This analysis will help automobile companies to know better about their customer's opinions. Customers will also be able to customize their cars with the help of the features provided in the application. Text analysis covers the summarization of the feedback form that is provided to the customers.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VR for automobile customization and its feedback analysis\",\"authors\":\"P. Ghadekar, Khushi Jhanwar, Ameya Karpe, Tanishka Shetty, Akash Sivanandan, Prannay Khushalani\",\"doi\":\"10.1109/AICAPS57044.2023.10074233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main agendas behind any business is understanding their customer's views about their products. In the proposed model text analysis is performed on the feedback which is given on the VR model of a car customization application. This application is built in Unity with help of its XR toolkit. The text analysis is done using NLTK and Scikit learn. This text analysis will be based on multiple options provided by the VR model. This analysis will help automobile companies to know better about their customer's opinions. Customers will also be able to customize their cars with the help of the features provided in the application. Text analysis covers the summarization of the feedback form that is provided to the customers.\",\"PeriodicalId\":146698,\"journal\":{\"name\":\"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICAPS57044.2023.10074233\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAPS57044.2023.10074233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VR for automobile customization and its feedback analysis
One of the main agendas behind any business is understanding their customer's views about their products. In the proposed model text analysis is performed on the feedback which is given on the VR model of a car customization application. This application is built in Unity with help of its XR toolkit. The text analysis is done using NLTK and Scikit learn. This text analysis will be based on multiple options provided by the VR model. This analysis will help automobile companies to know better about their customer's opinions. Customers will also be able to customize their cars with the help of the features provided in the application. Text analysis covers the summarization of the feedback form that is provided to the customers.