{"title":"有意义文本分析在在线产品评论中的应用","authors":"C. Bǎdicǎ, Georgian Vladutu","doi":"10.1109/SYNASC.2018.00057","DOIUrl":null,"url":null,"abstract":"Online reviews have a significant impact on opinion sharing, thus playing an important role in the purchase process. In this paper we examine the relations between the online review rating score and helpfulness on one hand and attributes measured by the readability tests on the other hand. Furthermore we investigated the interaction between users and, based on our data sets, we found that most of these are between customers and product owners. Lastly we proposed a sentiment analysis algorithm of reviews and we experimentally evaluated it using the review rating scores.","PeriodicalId":273805,"journal":{"name":"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application of Meaningful Text Analytics to Online Product Reviews\",\"authors\":\"C. Bǎdicǎ, Georgian Vladutu\",\"doi\":\"10.1109/SYNASC.2018.00057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online reviews have a significant impact on opinion sharing, thus playing an important role in the purchase process. In this paper we examine the relations between the online review rating score and helpfulness on one hand and attributes measured by the readability tests on the other hand. Furthermore we investigated the interaction between users and, based on our data sets, we found that most of these are between customers and product owners. Lastly we proposed a sentiment analysis algorithm of reviews and we experimentally evaluated it using the review rating scores.\",\"PeriodicalId\":273805,\"journal\":{\"name\":\"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2018.00057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2018.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Meaningful Text Analytics to Online Product Reviews
Online reviews have a significant impact on opinion sharing, thus playing an important role in the purchase process. In this paper we examine the relations between the online review rating score and helpfulness on one hand and attributes measured by the readability tests on the other hand. Furthermore we investigated the interaction between users and, based on our data sets, we found that most of these are between customers and product owners. Lastly we proposed a sentiment analysis algorithm of reviews and we experimentally evaluated it using the review rating scores.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
