首页> 外文OA文献 >Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study

【2h】

Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study

机译：通过Twitter数据挖掘在Covid-19大流行期间了解人口群体中的担忧，情绪和差异：大规模的横截面研究

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

著录项
引文网络
相似文献
相关主题

著录项

作者
Chunyan Zhang; Songhua Xu; Zongfang Li; Shunxu Hu;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Impact of COVID-19 pandemic on ride-hailing services based on large-scale Twitter data analysis [J] . Syed Ahnaf Morshed, Sifat Shahriar Khan, Raihanul Bari Tanvir, Journal of Urban Management . 2021,第2期

机译：基于大规模推特数据分析的Covid-19大流行对乘车服务的影响
2. Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic [J] . Shoaib Ahmed, Tanjim Taharat Aurpa, Musfique Anwar PLoS One . 2021,第8期

机译：检测Covid-19大流行中的Twitter用户的情感动态和群集群
3. Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic [J] . Lu Yonggang, Zheng Qiujie Current issues in tourism . 2021,第7a12期

机译：在Covid-19大流行期间，Twitter公众情绪动态巡航旅游
4. Attitudes Evaluation Toward COVID-19 Pandemic: An Application of Twitter Sentiment Analysis and Latent Dirichlet Allocation [C] . Saeed Shurrab, Yazan Shannak, Abdulkarem Almshnanah, International Conference on Information and Communication Systems . 2021

机译：对Covid-19大流行的态度评估：Twitter情感分析和潜在Dirichlet分配的应用
5. Understanding Depression During the COVID-19 Pandemic Through Social Media Data [D] . Armin, Nusrat. 2021

机译：通过社交媒体数据了解Covid-19大流行期间的抑郁症
6. Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language [O] . Yasin Kirelli, Seher Arslankaya 2020

机译：数据采矿方法全球变暖的共享推文的情感分析 - 以土耳其语为例
7. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study [O] . Joanne Chen Lyu, Garving K Luli 2021

机译：了解Covid-19大流行期间关于疾病控制和预防中心的公众讨论使用Twitter数据：文本挖掘分析研究

Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study

著录项

引文网络

相似文献

相关主题

期刊订阅