{"title":"文本分类的认知方法Alida","authors":"Yann Vigile Hoareau, A. E. Ghali","doi":"10.1109/WACI.2011.5953148","DOIUrl":null,"url":null,"abstract":"This paper proposes a model of text categorization named Alida, which combines a model of categorization inspired of the classical cognitive models of categorization of Nosofsky, with a semantic space model as system of semantic knowledge representation. The model addresses large-scale text categorization applications in opinion mining in different domains and different languages. The performance in the text-mining campaign DEFT'09 shows that the model can compete with existing Natural Language Processing and Information Retrieval models.","PeriodicalId":319764,"journal":{"name":"2011 IEEE Workshop on Affective Computational Intelligence (WACI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Alida, a cognitive approach of text categorization\",\"authors\":\"Yann Vigile Hoareau, A. E. Ghali\",\"doi\":\"10.1109/WACI.2011.5953148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a model of text categorization named Alida, which combines a model of categorization inspired of the classical cognitive models of categorization of Nosofsky, with a semantic space model as system of semantic knowledge representation. The model addresses large-scale text categorization applications in opinion mining in different domains and different languages. The performance in the text-mining campaign DEFT'09 shows that the model can compete with existing Natural Language Processing and Information Retrieval models.\",\"PeriodicalId\":319764,\"journal\":{\"name\":\"2011 IEEE Workshop on Affective Computational Intelligence (WACI)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Workshop on Affective Computational Intelligence (WACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WACI.2011.5953148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Workshop on Affective Computational Intelligence (WACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACI.2011.5953148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Alida, a cognitive approach of text categorization
This paper proposes a model of text categorization named Alida, which combines a model of categorization inspired of the classical cognitive models of categorization of Nosofsky, with a semantic space model as system of semantic knowledge representation. The model addresses large-scale text categorization applications in opinion mining in different domains and different languages. The performance in the text-mining campaign DEFT'09 shows that the model can compete with existing Natural Language Processing and Information Retrieval models.
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