{"title":"面向情感分析和意见挖掘的人机交互研究综述","authors":"Saberi Goswamil, Jayanta Poray","doi":"10.1109/ICCECE.2016.8009586","DOIUrl":null,"url":null,"abstract":"Inspite of much emphasis in the field of man machine interface, very little has been established till date. Researchers have studied many ways of communication between man and machine using signals from human beings and machine to help them communicate with each other in an easier way. Brain signal is such an example which can be used on a system for a variety of purposes. This can be useful in the medical, cognitive science as well as technological field in a wider aspect. Therefore, keeping this in mind a system can be implemented which can solve some common problems related to the brain, by dealing with conversion of brain signals into useful formats to solve such problems. There are several approaches to find the sentiment (emotion) from the EEG signals such that machine can interpret the exact or near meaning of the sentiment. Here, we have studied such approaches and showed how these methods could be adopted for further enhancements in this domain.","PeriodicalId":414303,"journal":{"name":"2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Human computer interaction for sentiment analysis and opinion mining: A review\",\"authors\":\"Saberi Goswamil, Jayanta Poray\",\"doi\":\"10.1109/ICCECE.2016.8009586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inspite of much emphasis in the field of man machine interface, very little has been established till date. Researchers have studied many ways of communication between man and machine using signals from human beings and machine to help them communicate with each other in an easier way. Brain signal is such an example which can be used on a system for a variety of purposes. This can be useful in the medical, cognitive science as well as technological field in a wider aspect. Therefore, keeping this in mind a system can be implemented which can solve some common problems related to the brain, by dealing with conversion of brain signals into useful formats to solve such problems. There are several approaches to find the sentiment (emotion) from the EEG signals such that machine can interpret the exact or near meaning of the sentiment. Here, we have studied such approaches and showed how these methods could be adopted for further enhancements in this domain.\",\"PeriodicalId\":414303,\"journal\":{\"name\":\"2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCECE.2016.8009586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCECE.2016.8009586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Human computer interaction for sentiment analysis and opinion mining: A review
Inspite of much emphasis in the field of man machine interface, very little has been established till date. Researchers have studied many ways of communication between man and machine using signals from human beings and machine to help them communicate with each other in an easier way. Brain signal is such an example which can be used on a system for a variety of purposes. This can be useful in the medical, cognitive science as well as technological field in a wider aspect. Therefore, keeping this in mind a system can be implemented which can solve some common problems related to the brain, by dealing with conversion of brain signals into useful formats to solve such problems. There are several approaches to find the sentiment (emotion) from the EEG signals such that machine can interpret the exact or near meaning of the sentiment. Here, we have studied such approaches and showed how these methods could be adopted for further enhancements in this domain.