{"title":"社交媒体上的心理健康分类:系统回顾","authors":"Priya Mathur, Amit Kumar Gupta, A. Dadhich","doi":"10.1145/3590837.3590946","DOIUrl":null,"url":null,"abstract":"In recent years, digitization of clinical psychology has helped experts and researchers to determine and handle the mental health problems of masses. The mental health problems are addressed with multiple names. The social media text may or may not entitle the user for any such mental health problem due to subjective interpretation. Many learning-based approaches and computational intelligence techniques have evolved to identify the potential users under threat of clinical depression and suicidal tendency. In this manuscript, efforts have been made to encapsulate the information from recent research works from 2016 to 2021 and state-of-the-art approaches to classify the microblogs which are associated with mental health misbalancing.","PeriodicalId":112926,"journal":{"name":"Proceedings of the 4th International Conference on Information Management & Machine Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mental Health Classification on Social-Media: Systematic Review\",\"authors\":\"Priya Mathur, Amit Kumar Gupta, A. Dadhich\",\"doi\":\"10.1145/3590837.3590946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, digitization of clinical psychology has helped experts and researchers to determine and handle the mental health problems of masses. The mental health problems are addressed with multiple names. The social media text may or may not entitle the user for any such mental health problem due to subjective interpretation. Many learning-based approaches and computational intelligence techniques have evolved to identify the potential users under threat of clinical depression and suicidal tendency. In this manuscript, efforts have been made to encapsulate the information from recent research works from 2016 to 2021 and state-of-the-art approaches to classify the microblogs which are associated with mental health misbalancing.\",\"PeriodicalId\":112926,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Information Management & Machine Intelligence\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Information Management & Machine Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3590837.3590946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Information Management & Machine Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3590837.3590946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mental Health Classification on Social-Media: Systematic Review
In recent years, digitization of clinical psychology has helped experts and researchers to determine and handle the mental health problems of masses. The mental health problems are addressed with multiple names. The social media text may or may not entitle the user for any such mental health problem due to subjective interpretation. Many learning-based approaches and computational intelligence techniques have evolved to identify the potential users under threat of clinical depression and suicidal tendency. In this manuscript, efforts have been made to encapsulate the information from recent research works from 2016 to 2021 and state-of-the-art approaches to classify the microblogs which are associated with mental health misbalancing.