{"title":"Knowledge components detection in User-Generated Content","authors":"Houda Sekkal, Naila Amrous, S. Bennani","doi":"10.1109/ISCV49265.2020.9204188","DOIUrl":null,"url":null,"abstract":"There is knowledge in user generated content that can be extracted and mined to be reused. Our work is focusing on knowledge extraction from user-generated content present in online communities. In this article, we propose an approach to extract elements of knowledge from user-generated content using ATM (Automatic terms recognition). The obtained results show the effectiveness of the process in extracting useful solutions to problems discussed by the online community members.","PeriodicalId":313743,"journal":{"name":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCV49265.2020.9204188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
There is knowledge in user generated content that can be extracted and mined to be reused. Our work is focusing on knowledge extraction from user-generated content present in online communities. In this article, we propose an approach to extract elements of knowledge from user-generated content using ATM (Automatic terms recognition). The obtained results show the effectiveness of the process in extracting useful solutions to problems discussed by the online community members.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
