{"title":"基于领域词典和机器学习的情感分析方法","authors":"Pian Shi, Mingze Shi","doi":"10.1145/3501409.3501569","DOIUrl":null,"url":null,"abstract":"With the continuous generation of interactive data on the Internet, the value behind these data needs to be tapped. By constructing a scoring system based on domain dictionary and using machine learning model, the emotional information behind specific domain data can be effectively tapped, thus providing reference value for enterprise decision-making and other social activities.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emotion analysis method based on domain dictionary and machine learning\",\"authors\":\"Pian Shi, Mingze Shi\",\"doi\":\"10.1145/3501409.3501569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous generation of interactive data on the Internet, the value behind these data needs to be tapped. By constructing a scoring system based on domain dictionary and using machine learning model, the emotional information behind specific domain data can be effectively tapped, thus providing reference value for enterprise decision-making and other social activities.\",\"PeriodicalId\":191106,\"journal\":{\"name\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3501409.3501569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Emotion analysis method based on domain dictionary and machine learning
With the continuous generation of interactive data on the Internet, the value behind these data needs to be tapped. By constructing a scoring system based on domain dictionary and using machine learning model, the emotional information behind specific domain data can be effectively tapped, thus providing reference value for enterprise decision-making and other social activities.