Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task

机译：Twitter上与药物有关的文本分类和概念归一化的数据和系统：来自社交媒体健康促进会（SMM4H）-2017的共享任务的见解

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

摘要
著录项
相似文献
相关主题

摘要

ObjectiveWe executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related text from social media. An additional objective was to publicly release manually annotated data.

机译：目标我们执行了2017年健康社交媒体挖掘（SMM4H）共享任务，以实现社区驱动的自动文本处理方法的开发和大规模评估，以对来自社交媒体的健康相关文本进行分类和标准化。另一个目标是公开发布手动注释的数据。

著录项

期刊名称 Journal of the American Medical Informatics Association : JAMIA
作者
Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; Debanjan Mahata; Saif M Mohammad; Goran Nenadic; Graciela Gonzalez-Hernandez;
展开▼
作者单位

展开▼
年(卷),期 2018(25),10
年度 2018
页码 1274–1283
总页数 10
原文格式 PDF
正文语种
中图分类
关键词
social media text mining natural language processing pharmacovigilance machine learning;

机译：社交媒体;文本挖掘;自然语言处理;药物警戒;机器学习;

相似文献

外文文献
中文文献
专利

1. Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task [J] . Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Journal of the American Medical Informatics Association : . 2018,第10期

机译：Twitter的药物相关文本分类和概念标准化的数据和系统：来自社交媒体挖掘的洞察力（SMM4H） - 2017年共享任务
2. Using SAS? software to enhance pedagogy for Text Mining and Sentiment Analysis using social media (Twitter?) data [J] . Subramanian Ramesh, Cote Danielle Journal of International Technology and Information Management . 2018,第2期

机译：使用SAS？该软件可增强使用社交媒体（Twitter？）数据进行文本挖掘和情感分析的教学法
3. Text mining and determinants of sentiments: Twitter social media usage by traditional media houses in Uganda [J] . Frank Namugera, Ronald Wesonga, Peter Jehopio Computational Social Networks . 2019,第1期

机译：文本挖掘和情绪决定因素：乌干达传统媒体机构对Twitter社交媒体的使用
4. Overview of the Fifth Social Media Mining for Health Applications(#SMM4H) Shared Tasks at COLING 2020 [C] . Ari Z. Klein, Ilseyar Alimova, Ivan Flores, Social Media Mining for Health Applications Workshop Shared Task;International Conference on Computational Linguistics . 2020

机译：第五届社交媒体挖掘健康应用（＃SMM4H）在Coling 2020的共享任务的概述
5. Mediation of information sharing in cooperative federated database systems: Ontologies, mediators, and data mining. [D] . Kahng, Jonghyun. 1997

机译：协作式联合数据库系统中信息共享的中介：本体，中介器和数据挖掘。
6. Social Media Mining for Birth Defects Research: A Rule-Based Bootstrapping Approach to Collecting Data for Rare Health-Related Events on Twitter [O] . Ari Z. Klein, Abeed Sarker, Haitao Cai, -1

机译：用于出生缺陷研究的社交媒体挖掘：基于规则的引导方法用于在Twitter上收集与健康相关的罕见事件的数据
7. Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task [O] . Abeed Sarker, Maksim Belousov, Jasper Friedrichs, 2018

机译：与Twitter相关的药物相关文本分类和概念标准化的数据和系统：来自社交媒体挖掘的洞察力 - 2217分享任务

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task

摘要

著录项

相似文献

相关主题

期刊订阅