{"title":"提高情感分析准确性的时空背景","authors":"Maryame Naji, N. Daoudi, R. Ajhoun","doi":"10.1109/ICMCS.2018.8525959","DOIUrl":null,"url":null,"abstract":"With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These Medias constitute a source of rich and varied information for researchers in sentiment analyses. In fact, The area of sentiment analysis has recently enjoyed a huge burst of research activity. This paper describes a tool for sifting through and synthesizing reviews by identifying the main factors that influence sentiment analysis, especially, those most propitious in the medical context.","PeriodicalId":386031,"journal":{"name":"International Conference on Multimedia Computing and Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Spatio-temporal context for improving sentiment analysis accuracy\",\"authors\":\"Maryame Naji, N. Daoudi, R. Ajhoun\",\"doi\":\"10.1109/ICMCS.2018.8525959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These Medias constitute a source of rich and varied information for researchers in sentiment analyses. In fact, The area of sentiment analysis has recently enjoyed a huge burst of research activity. This paper describes a tool for sifting through and synthesizing reviews by identifying the main factors that influence sentiment analysis, especially, those most propitious in the medical context.\",\"PeriodicalId\":386031,\"journal\":{\"name\":\"International Conference on Multimedia Computing and Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMCS.2018.8525959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCS.2018.8525959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatio-temporal context for improving sentiment analysis accuracy
With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These Medias constitute a source of rich and varied information for researchers in sentiment analyses. In fact, The area of sentiment analysis has recently enjoyed a huge burst of research activity. This paper describes a tool for sifting through and synthesizing reviews by identifying the main factors that influence sentiment analysis, especially, those most propitious in the medical context.