DUI: the drug use insights web server
DUI: the drug use insights web server
复制标题
DUI：药物使用洞察网络服务器
DOI：
10.1093/bioinformatics/btab461
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发表时间：
2021
期刊：
影响因子：
5.8
通讯作者：
Singh, Rahul
中科院分区：
文献类型：
--
作者：
Prince, Zachary;Jha, Deeptanshu;Singh, Rahul
药物滥用是当代主要的健康流行病之一。最近，使用社交媒体平台作为一种新的药物成瘾流行病学数据来源引起了人们的兴趣。然而，在这些论坛中使用的语言通常包括俚语和行话。目前，没有公开可用的资源来自动分析社交媒体吸毒亚文化中深奥的语言使用。这一空白为使用社交媒体解释、理解和建模成瘾流行病学带来了重大挑战。结果drug - use Insights （DUI）是一个公共和开源的web应用程序，解决了上述不足。DUI是通过包含108个不同成瘾相关类别的分层分类法来强调的，这些类别由9000多个术语组成，其中每个类别包含一组语义相关术语。这些分类和术语是通过利用主题分析和术语嵌入来建立的，这些术语嵌入来自1 402 017名Reddit用户发布的7 472 545篇Reddit帖子。鉴于社交媒体论坛（如Reddit和Twitter）上的帖子，DUI可以首先用于识别与吸毒相关的组成术语。此外，可以利用DUI类别和集成的可视化工具进行语义分析和探索性分析。据我们所知，在一项研究中，酒后驾车使用了最多数量的药物使用和康复社交媒体帖子，代表了第一个重要的药物滥用术语在线分类。可用性和实现DUI web服务器和源代码可在：http://haddock9.sfsu.edu/insight/.Supplementary information补充数据可在bioinformatics online上获得。
MotivationSubstance abuse constitutes one of the major contemporary health epidemics. Recently, the use of social media platforms has garnered interest as a novel source of data for drug addiction epidemiology. Often however, the language used in such forums comprises slang and jargon. Currently, there are no publicly available resources to automatically analyze the esoteric language-use in the social media drug-use sub-culture. This lacunae introduces critical challenges for interpreting, sensemaking and modeling of addiction epidemiology using social media.ResultsDrug-Use Insights (DUI) is a public and open-source web application to address the aforementioned deficiency. DUI is underlined by a hierarchical taxonomy encompassing 108 different addiction related categories consisting of over 9000 terms, where each category encompasses a set of semantically related terms. These categories and terms were established by utilizing thematic analysis in conjunction with term embeddings generated from 7 472 545 Reddit posts made by 1 402 017 redditors. Given post(s) from social media forums such as Reddit and Twitter, DUI can be used foremost to identify constituent terms related to drug use. Furthermore, the DUI categories and integrated visualization tools can be leveraged for semantic- and exploratory analysis. To the best of our knowledge, DUI utilizes the largest number of substance use and recovery social media posts used in a study and represents the first significant online taxonomy of drug abuse terminology.Availability and implementationThe DUI web server and source code are available at: http://haddock9.sfsu.edu/insight/.Supplementary informationSupplementary data are available atBioinformaticsonline.