官方服务:
资源简介:
Twitter dataset about Hurricane Harvey
应用场景:
创建时间:
2020-01-15
相关数据集
2016台风及暴雨相关的微博数据
该数据包括了2016年6月-12月期间在微博中出现的与台风、暴雨相关的数据。具体说明如下: 数据清单如下: (1)2016台风及暴雨相关的微博数据.zip 解压后为csv格式,共1个文件。本数据来源于2016年6月-12月期间在微博爬取的与台风、暴雨相关的数据,包含本文实验中使用的各字段信息,及实验模型的分类结果。 (2)数据字段.txtTxt文本文件,是对文件(1)中各个数据字段的含义解释。具体
NIAID Data Ecosystem150
Twitter Data for Hurricane Harvey_4 Fridays in August 2017
Raw tweets of 4 Fridays in August 2017. This data has been gathered through Twitter API which covers a sample of all tweets available on Fridays 4, 11, 18 and 25 August 2017.
NIAID Data Ecosystem30
Sentiment and topic analysis (supervised classification) of Twitter data about the 5th anniversary of the 2015 Gorkha Earthquake
This dataset contains the sentiment and topic analysis at the post level of tweets posted three hours before and three hours after the exact time of the earthquake at Nepal standard time: local time:
Figshare2023-01-20 更新20
French Entity-Linking dataset between annotated tweets collected during major crises in France and French Wikipedia corpus
Most of the available datasets are not particularly adapted to our target application: geolocate natural disasters from social networks. First, social media posts are largely underrepresented in these
Zenodo2023-03-24 更新30
Politicized Attention Shifts Amplify Polarization in the Information Ecosystem during California Wildfires
The raw data used in this study were collected via Brandwatch and cannot be publicly shared due to the platform's data privacy and security policy (https://www.brandwatch.com/legal/). Researchers see
Zenodo2026-03-01 更新20



