Ning Yu, Sandra Kübler, Joshua Herring, Yu-Yin Hsu, Ross Israel, Charese Smiley
{"title":"LASSA:基于信息融合的情感检测。","authors":"Ning Yu, Sandra Kübler, Joshua Herring, Yu-Yin Hsu, Ross Israel, Charese Smiley","doi":"10.4137/BII.S8949","DOIUrl":null,"url":null,"abstract":"<p><p>DUE TO THE COMPLEXITY OF EMOTIONS IN SUICIDE NOTES AND THE SUBTLE NATURE OF SENTIMENTS, THIS STUDY PROPOSES A FUSION APPROACH TO TACKLE THE CHALLENGE OF SENTIMENT CLASSIFICATION IN SUICIDE NOTES: leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.</p>","PeriodicalId":88397,"journal":{"name":"Biomedical informatics insights","volume":"5 Suppl. 1","pages":"71-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BII.S8949","citationCount":"4","resultStr":"{\"title\":\"LASSA: Emotion Detection via Information Fusion.\",\"authors\":\"Ning Yu, Sandra Kübler, Joshua Herring, Yu-Yin Hsu, Ross Israel, Charese Smiley\",\"doi\":\"10.4137/BII.S8949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>DUE TO THE COMPLEXITY OF EMOTIONS IN SUICIDE NOTES AND THE SUBTLE NATURE OF SENTIMENTS, THIS STUDY PROPOSES A FUSION APPROACH TO TACKLE THE CHALLENGE OF SENTIMENT CLASSIFICATION IN SUICIDE NOTES: leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.</p>\",\"PeriodicalId\":88397,\"journal\":{\"name\":\"Biomedical informatics insights\",\"volume\":\"5 Suppl. 1\",\"pages\":\"71-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4137/BII.S8949\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical informatics insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4137/BII.S8949\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2012/1/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical informatics insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/BII.S8949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/1/30 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
DUE TO THE COMPLEXITY OF EMOTIONS IN SUICIDE NOTES AND THE SUBTLE NATURE OF SENTIMENTS, THIS STUDY PROPOSES A FUSION APPROACH TO TACKLE THE CHALLENGE OF SENTIMENT CLASSIFICATION IN SUICIDE NOTES: leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.