{"title":"近期微博分类方法综述与分类","authors":"Veranika Mikhailava, Victor Khaustov, V. Klyuev","doi":"10.1145/3274856.3274882","DOIUrl":null,"url":null,"abstract":"A growing popularity of microblogs requires scientists to develop methods for effective and efficient analysis of short texts in order to understand opinions of microblog users and the trustworthiness of their messages. In this review, we examine most common approaches to sentiment analysis in microblogs and explain their advantages and weaknesses. We also review approaches to assessing credibility in news headlines and political statements and discuss their applicability in microblogs. Distinct characteristics of microblog posts, such as slang, emoticons, poor grammar and spelling are in the focus of the evaluation. Such properties of microblog messages deteriorate the performance of conventional classifiers and limit their use in practical applications.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Overview and Categorization of Recent Approaches to Microblog Classification\",\"authors\":\"Veranika Mikhailava, Victor Khaustov, V. Klyuev\",\"doi\":\"10.1145/3274856.3274882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A growing popularity of microblogs requires scientists to develop methods for effective and efficient analysis of short texts in order to understand opinions of microblog users and the trustworthiness of their messages. In this review, we examine most common approaches to sentiment analysis in microblogs and explain their advantages and weaknesses. We also review approaches to assessing credibility in news headlines and political statements and discuss their applicability in microblogs. Distinct characteristics of microblog posts, such as slang, emoticons, poor grammar and spelling are in the focus of the evaluation. Such properties of microblog messages deteriorate the performance of conventional classifiers and limit their use in practical applications.\",\"PeriodicalId\":373840,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Applications in Information Technology\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Applications in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3274856.3274882\",\"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 3rd International Conference on Applications in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274856.3274882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Overview and Categorization of Recent Approaches to Microblog Classification
A growing popularity of microblogs requires scientists to develop methods for effective and efficient analysis of short texts in order to understand opinions of microblog users and the trustworthiness of their messages. In this review, we examine most common approaches to sentiment analysis in microblogs and explain their advantages and weaknesses. We also review approaches to assessing credibility in news headlines and political statements and discuss their applicability in microblogs. Distinct characteristics of microblog posts, such as slang, emoticons, poor grammar and spelling are in the focus of the evaluation. Such properties of microblog messages deteriorate the performance of conventional classifiers and limit their use in practical applications.