Mohammed Sedki, Nathan Vidal, Paul Roux, Caroline Barry, Mario Speranza, Bruno Falissard, Eric Brunet-Gouet
{"title":"使用自我关注架构自动对法国青少年对其家庭关系的自由描述进行价态分类:概念证明","authors":"Mohammed Sedki, Nathan Vidal, Paul Roux, Caroline Barry, Mario Speranza, Bruno Falissard, Eric Brunet-Gouet","doi":"10.21037/jmai-23-8","DOIUrl":null,"url":null,"abstract":"Background: This paper proposes a proof of concept of using natural language processing (NLP) techniques to categorize valence of family relationships described in free texts written by French teenagers. The proposed study traces the evolution of techniques for word embedding.","PeriodicalId":73815,"journal":{"name":"Journal of medical artificial intelligence","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using a self-attention architecture to automate valence categorization of French teenagers’ free descriptions of their family relationships: a proof of concept\",\"authors\":\"Mohammed Sedki, Nathan Vidal, Paul Roux, Caroline Barry, Mario Speranza, Bruno Falissard, Eric Brunet-Gouet\",\"doi\":\"10.21037/jmai-23-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: This paper proposes a proof of concept of using natural language processing (NLP) techniques to categorize valence of family relationships described in free texts written by French teenagers. The proposed study traces the evolution of techniques for word embedding.\",\"PeriodicalId\":73815,\"journal\":{\"name\":\"Journal of medical artificial intelligence\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical artificial intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21037/jmai-23-8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical artificial intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/jmai-23-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using a self-attention architecture to automate valence categorization of French teenagers’ free descriptions of their family relationships: a proof of concept
Background: This paper proposes a proof of concept of using natural language processing (NLP) techniques to categorize valence of family relationships described in free texts written by French teenagers. The proposed study traces the evolution of techniques for word embedding.