{"title":"社交媒体数据的情感强度检测","authors":"Sonia Xylina Mashal, K. Asnani","doi":"10.1109/ICCMC.2017.8282664","DOIUrl":null,"url":null,"abstract":"Social networking sites, blogs and many more informal texting sites have taken a center stage in our lives, and in this informal messages we tend to show a lot of emotions towards a certain social cause or towards friends. Quite impressive work is done in emotion analysis or emotion classification area, but we require algorithms to identify emotion strength/intensity from informal and short text messages. Emotion intensity from a short text can help us in identifying the degree of emotion in a sentence belonging to the same emotion category. This paper proposes a novel idea for solving the problem of identification of emotion intensity from social media data.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Emotion intensity detection for social media data\",\"authors\":\"Sonia Xylina Mashal, K. Asnani\",\"doi\":\"10.1109/ICCMC.2017.8282664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social networking sites, blogs and many more informal texting sites have taken a center stage in our lives, and in this informal messages we tend to show a lot of emotions towards a certain social cause or towards friends. Quite impressive work is done in emotion analysis or emotion classification area, but we require algorithms to identify emotion strength/intensity from informal and short text messages. Emotion intensity from a short text can help us in identifying the degree of emotion in a sentence belonging to the same emotion category. This paper proposes a novel idea for solving the problem of identification of emotion intensity from social media data.\",\"PeriodicalId\":163288,\"journal\":{\"name\":\"2017 International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"151 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2017.8282664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2017.8282664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social networking sites, blogs and many more informal texting sites have taken a center stage in our lives, and in this informal messages we tend to show a lot of emotions towards a certain social cause or towards friends. Quite impressive work is done in emotion analysis or emotion classification area, but we require algorithms to identify emotion strength/intensity from informal and short text messages. Emotion intensity from a short text can help us in identifying the degree of emotion in a sentence belonging to the same emotion category. This paper proposes a novel idea for solving the problem of identification of emotion intensity from social media data.